Emerging markets are fraught with uncertainty, diverse global players, rapid technological change, wide-spread price wars, and seemingly endless reorganization (Ilinitch, 1996). These changes have presented challenges to organizations in the form of shorter product cycles, increased segment fragmentation, blurring industry boundaries, breaking corporate hierarchies, and increased interdependence of world markets (Ozsomer et. al., 1991). Organizations are responding to competition by capitalizing on global policies and adopting self-directed teams and horizontal structures that enhance external activities. To do this organizations are getting conscious of the boundaries they are operating in. With hyper competition and globalization organizations blur boundaries to gain maximum business opportunity from other geographic boundaries. For this to happen organizations must engage in boundary crossing behaviour. Competition is also managed by focussing on bringing out new products to the market. Product development (PD) is critical because new products are becoming the nexus of competition for firms (Clark and Fujimoto, 1991). They are the means by which members of organizations diversify, adapt, and even reinvent their firms to match evolving market and technological conditions (Schoonhoven et. al., 1990). This calls for a closer look at boundary crossing behaviour as part of the external activity during PD. The studies carried out in the process of PD identify external activity orientation as important criteria for success (Brown and Eisenhardt, 1995). PD processes involve project management activity. Unlike other processes of an organization, PD is a knowledge intensive activity, which brings together individuals having different skill sets and mindsets. These individuals need to interact regularly to understand and coordinate their activities. The non-routine nature of the process makes boundary-crossing activity more critical for successful PD. This thesis focuses on the boundary crossing behaviours performed by PD teams. Literature review showed that external activities play a crucial role in PD (Calantoue and Di Benedetto 1990a, b; Griffin and Hauser 1992; Olson et. al., 1995; Song et al., 2000; Souder 1987). The importance of external activities for successful project development was shown by Allen (1971, 1977) based on his seminal work on communication and organizations. He showed that R&D team’s frequency of communication within the team has no relationship to performance, while increased communication between teams and other parts of the laboratory was strongly related to project performance. Teams carrying out complex tasks in uncertain environments were found to perform higher levels of external activities (Ancona and Caldwell 1992). External activity was found to result in high percentages of successful projects and sales derived from new products (Cooper 1984; Dougherty 1987; Ancona and Caldwell, 1992; Ancona, 1990; Sheremata 2002). PD is an activity with high uncertainty. The external activities that are performed by PD teams and their nature of relationships shared are variously classified as interactive and collaborative behaviour (Kahn 1996). Underlying this classification is a dichotomous behaviour where in the former embodies presence of informal behaviour between partners, while the latter embodies formal behaviour. Further research on these behaviours have shown that informal type of external activity also known as collaborative behaviour plays an important role in the successful development of products. Collaboration represents the unstructured, affective nature of interdepartmental relationships. They were found to result in improved product development. A study on software product development teams by Kraut and Streeter(1995) also showed the importance of informal behaviour. He found that product development requires personal communication across functional boundaries to cope with uncertainty. The external activities performed by PD teams were also found to be influenced by variables like product development life cycle (Brodbeck, 2001; Sawyer & Guinan, 1998; Boehm, 1987), informal groups (Hirschhorn and Gilmore, 1992), awareness, (Pinto and Slevin, 1987), and open climate (Ashkenas et. al., 1990). After identifying the missing gaps in gaps were the objectives of the study was defined. The objectives of the study are as follows: To understand the interactive and collaborative boundary crossing behaviour of product development teams To study the difference in boundary crossing behaviour of horizontal, geographic and value chain boundaries of product development teams To understand the relationship of variables influencing boundary crossing behaviour of product development teams To give suggestions to better understand management of boundary crossing behaviour in product development teams A combination of qualitative and quantitative techniques was adopted to study these objectives. Based on the past literature a conceptual framework was developed. It consisted of defining the role of collaborative and interactive boundary crossing behaviours across product development teams and certain variables influencing this behaviour. The model was validated through preliminary interviews. These interviews were conducted across team members, team leaders and knowledge management experts. A few more variables were identified that were considered to influence the collaborative behaviour performed by PD teams. These variables are sharing behaviour and confidence with the time available for developing the product. The variables were operationally defined and measurement instrument, namely a questionnaire, was developed. The questionnaire was administered to team leaders and team members. The measurement instrument was tested for its psychometric properties namely, reliability and validity. Cronbach alphas are reported. For the main study, data was collected from 73 product development teams of IT organizations located in Bangalore. From the team leader the general characteristics of the PD team were understood, as well as the level of newness of the product developed. The latter was used as a measure of level of innovation. From team members, the interactive and collaborative behaviour of PD team members was studied. The statistical techniques that were used for analyzing the data are F-Test, t-test, Kruskall Wallis test, chi-square test , correlation and regression analyses. After the analysis it was found that the interactive and collaborative behaviour expressed by the teams across the three boundaries showed that as compared to collaborative behavior, product development teams more commonly used interactive behaviour. Interactive behaviours were also found to be used to the same extent across all the three boundaries. Since interactive behavior is formal and forced in organizations it is predominantly practiced although its efficiency may vary. The challenge for organizations hence is the collaborative behaviors. On the other hand, collaborative behaviour was seen used the most across horizontal boundary and the least across value chain boundary. Since the geographic distance across boundaries increases when moving from horizontal to value chain boundaries the chances of collaboration get decreased. Hence an influence of distance on boundary crossing behavior was sense influencing collaborative behaviour of product development teams. Hence further analysis focused on collaborative behaviors. The collaborative behaviour was further studied to understand its relationship with product development team behaviour, sharing behaviour of teams of outside the boundary, demographic variables and innovation level of product developed. Correlation analysis showed that the collaborative behaviour of teams were correlated with the sharing behaviour, informal groups, autonomous team leader behaviour, and open climate only. These variables were termed direct influencers of collaborative behavior.Innovation level did not play any significant role in influencing collaborative behavior.Collaboration behaviour was further studied to understand how they are causally related with these variables. Using regression analysis, the causal study considered collaboration behaviour of PD teams in general, as well as the collaboration behaviour across horizontal, geographical and value-chain boundary as the dependent variable. The independent variables studied are sharing behaviour, informal groups, open-climate behaviors, autonomous team leader behaviour. Regression results showed that open climate behaviours was causally related to overall collaboration behaviour of PD teams in all boundaries. With respect to collaboration across horizontal boundary, it was found that sharing behaviour, as well as autonomous team leader behaviour influenced them. Across geographical boundary, the open-climate was found causally related. Across value chain boundary sharing behaviour was found to influence collaborative behaviour. It was found that only some variables influence boundary crossing behavior namely, collaborative behavior, the most. These were open climate behaviors, sharing behaviour, and autonomous team leader behaviour. These were labeled direct influencers. The ones that did not show a direct influence were termed as indirect influencers. Since the role of direct influencers was clearly understood, the role of indirect influencers needed further analysis as these were variables selected from literature and expert interviews and expected to have influence on boundary crossing behaviour. Those variables that did not directly enter the regression analysis were further studied tounder stand if they had a relationship with the direct influencers independent of collaborative behaviors. It was assumed that if they did then they may indirectly influence collaborative behaviors. For this the indirect variables were correlated with the direct influencers. The results showed that open-climate was positively correlated with awareness of objectives, PD life cycle and the team’s confidence in time line of the project. Interestingly sharing behavior and autonomous behaviour of the team leader was not correlated with any potentially indirect influencer or variable. This meant that awareness of objectives, PD life cycle and the team’s confidence in time line of the project can influence collaborative behavior indirectly. In the next analysis the role of PD was understood deeper in the context of level of innovation and duration of projects vis-à-vis collaboration. This is specifically done as the poor influence of level of innovation and duration were a surprise since they were expected to have influence on boundary crossing behavior. Teams were classified into low, medium and high innovation level teams. The collaboration behaviour within these teams was then studied. The results showed that there was a pattern in the usage of collaboration behaviour across the different channels. Collaboration behaviour was used most across medium innovation level team as compared to low and high innovation level teams. This was the case of collaboration across horizontal and geographical boundary. In the case of value chain boundary, no such pattern was recognizable. Interestingly it meant that in low and high innovation collaborative behavior was lower and it increased only during medium innovation. Further to this, the influence of collaboration on duration of product developed was studied. The correlation study showed negative relation between the two only for horizontal boundaries. This meant that increase in collaborative behavior across horizontal boundaries result in lesser time taken to develop the product. The last chapter in this thesis describes the conclusions from this study and the managerial implications regarding nurturing and managing boundaries of PD teams.

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<!--[if gte mso 10]> <mce:style><! /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} --> <!--[endif]--><!--[if gte mso 9]><xml> <o:shapedefaults v:ext="edit" spidmax="1026" /> </xml><![endif]--><!--[if gte mso 9]><xml> <o:shapelayout v:ext="edit"> <o:idmap v:ext="edit" data="1" /> </o:shapelayout></xml><![endif]--></p><p>The 1990s is commonly referred as the Golden Age for High Technology and during this time the industry grew with a rapid speed. As a result, the consumers were presented with a various number of innovative products such as the Internet, computers and mobile phones. Within the High Tech frame, one of the fastest growing industries is the mobile phone handset industry. In 2006, 800,2 million mobile phones were sold worldwide and the market value was $104,3 billion. Forecasts about the mobile phone market predicts that the market will grow to 1,8 billion units in 2011 and have a value of $211,9 billion.</p><p> </p><p>However, during this time, the researcher, Geoffrey Moore, identified a problem for the High Tech companies, i.e. the chasm. The chasm is a gap between the early market and the mainstream market that has arisen due to the characteristics of the high tech industry and the differences between these two groups. Due to the fact, that the early market only represents 10-15% of the total market it is vital for companies to cross the chasm and reach the mainstream market, in order to cover the high initial R&D costs.</p><p> </p><p>Therefore, the purpose of this thesis is to conduct a qualitative study within the Swedish mobile phone industry to understand how the manufacturers’ products are crossing the chasm.</p><p> </p><p>The research has been carried out as a case study, and two of the largest mobile phone manufacturers were used as cases, Sony Ericsson and LG Electronics. The data collection was of qualitative nature and four respondents were chosen to be interviewed.</p><p> </p><p>In the Swedish mobile phone industry, the researchers have identified two types of products; class products and innovation product, which have been identified, defined and named by the researchers themselves. Class products are defined as “mobile phones with no significant innovation value for the consumers”, whereas innovation products are defined as “mobile phones with high innovation value”. The main difference is that class products will never attract the interest of the early market and therefore they are usually launched directly to the mainstream market, ignoring the chasm. Factors such as incremental changes, development of IT, changes in how to market new technologies and overlapping groups in the life cycle has narrowed down the chasm in the industry for innovation products. The most important strategy in order to reach the mainstream market is partnerships and alliances and it is impossible for a manufacturer to survive on their own.</p><p> </p>

The purpose of this investigation was to compare the efficacy of three methods for detecting differential item functioning (DIF). The performance of the crossing simultaneous item bias test (CSIBTEST), the item response theory likelihood ratio test (IRT-LR), and logistic regression (LOGREG) was examined across a range of experimental conditions including different test lengths, sample sizes, DIF and differential test functioning (DTF) magnitudes, and mean differences in the underlying trait distributions of comparison groups, herein referred to as the reference and focal groups. In addition, each procedure was implemented using both an all-other anchor approach, in which the IRT-LR baseline model, CSIBEST matching subtest, and LOGREG trait estimate were based on all test items except for the one under study, and a constant anchor approach, in which the baseline model, matching subtest, and trait estimate were based on a predefined subset of DIF-free items. Response data for the reference and focal groups were generated using known item parameters based on the three-parameter logistic item response theory model (3-PLM). Various types of DIF were simulated by shifting the generating item parameters of select items to achieve desired DIF and DTF magnitudes based on the area between the groups' item response functions. Power, Type I error, and Type III error rates were computed for each experimental condition based on 100 replications and effects analyzed via ANOVA. Results indicated that the procedures varied in efficacy, with LOGREG when implemented using an all-other approach providing the best balance of power and Type I error rate. However, none of the procedures were effective at identifying the type of DIF that was simulated.

Many Departments of Transportation (DOTs), including Texas Department of Transportation (TxDOT), have been challenged by inadequate funding from traditional federal and state fuel taxes, increasing construction cost, aging highway system, traffic congestions, and recent natural disasters, compromising their primary mission to provide safe vehicle transportation routes with adequate capacity. Furthermore, environmental awareness and sustainability concept have strengthened and sparked debates in Congress, culminating with several regulatory policies that affect, inclusively, transportation projects. This scenario has prompted DOTs to pursue innovative ways to reduce maintenance cost (at minimum) and generate revenue (at maximum) exploiting their assets, and to meet the new regulations. Likewise, the Center of Transportation Research at The University of Texas at Austin undertook a comprehensive research study to identify and determine when, where, and under what circumstances TxDOT should pursue the implementation of which Value Extraction Application (VEA), and how to effectively recognize and involve key stakeholders. As a result, 11 VEAs were identified. In addition, a methodological framework – embedding a multi-attribute criteria analysis matrix as the decision making method - was devised to guide TxDOT throughout the process of identifying, evaluating, comparing, and selecting the most appropriate VEA while a list of stakeholders associated with each VEA and a stakeholder analysis framework was provided to help TxDOT to identify and reach out key stakeholders. / text

Large on-chip bandwidths required for high performance electronic chips will render optical components essential parts of future on-chip interconnects. Silicon photonics enables highly integrated photonic integrated circuit (PIC) using CMOS compatible process. In order to maximize the bandwidth density and design flexibility of PICs, vertical integration of electronic layers and photonics layers is strongly preferred. Comparing deposited silicon, single crystalline silicon offers low material absorption loss and high carrier mobility, which are ideal for multi-layer silicon PIC. Three different methods to build multi-layer silicon PICs based on single crystalline silicon are demonstrated in this dissertation, including double-bonded silicon-on-insulator (SOI) wafers, transfer printed silicon nanomembranes, and adhesively bonded silicon nanomembranes. 1-to-12 waveguide fanouts using multimode interference (MMI) couplers were designed, fabricated and characterized on both double-bonded SOI and transfer printed silicon nanomembrane, and the results show comparable performance to similar devices fabricated on SOI. However, both of these two methods have their limitations in optical interconnects applications. Large and defect-free silicon nanomembrane fabricated using adhesive bonding is identified as a promising solution to build multi-layer silicon PICs. A double-layer structure constituted of vertically integrated silicon nanomembranes was demonstrated. Subwavelength length based fiber-to-chip grating couplers were used to couple light into this new platform. Three basic building blocks of silicon photonics were designed, fabricated and characterized, including 1) inter-layer grating coupler based on subwavelength nanostructure, which has efficiency of 6.0 dB and 3 dB bandwidth of 41 nm, for light coupling between layers, 2) 1-to-32 H-tree optical distribution, which has excess loss of 2.2 dB, output uniformity of 0.72 dB and 3 dB bandwidth of 880 GHz, 3) waveguide crossing utilizing index-engineered MMI coupler, which has crossing loss of 0.019 dB, cross talk lower than -40 dB and wide transmission spectrum covering C-band and L-band. The demonstrated integration method and silicon photonic devices can be integrated into the CMOS back-end process for clock distribution and global signaling. / text

Visual cues have previously been classified as visual exproprioceptive, when defining the relative position of the body within the environment and are continuously updated while moving (online), and visual exteroceptive when describing static features of the environment which are typically elaborated offline (feedforward). However peripheral visual cues involved in the control of movement have not previously been clearly defined using this classification. Hence the role played by peripheral visual cues in the planning and/or online control of movement remains unclear. The aim of this thesis was to provide a systematic understanding of the importance of peripheral visual cues in several types of movement, namely overground locomotion, adaptive gait, postural stability and reaching and grasping. 3D motion capture techniques were used to collect limb and whole body kinematics during such movements. Visual peripheral cues were manipulated by visual field occlusion conditions or by the employment of point-lights in a dark room. Results showed that the visual cues provided by different parts of the peripheral visual field are mainly used for online fine tuning of limb trajectory towards a target (either a floor-based obstacle or an object to grasp). The absence of peripheral visual cues while moving disrupted the spatio-temporal dynamic relationship between subject and target and resulted in increased margins of safety between body and target and increased time and variability of several dependent measures. These findings argue in favour of the classification of peripheral visual cues as visual exproprioceptive.

La qualité de communication dans un réseau sans fil est déterminée par la qualité du signal, et plus précisément par le rapport signal à interférence et bruit. Cela pousse chaque récepteur à se connecter à l'émetteur qui lui donne la meilleure qualité du signal. Nous utilisons la géométrie stochastique et la théorie des extrêmes pour obtenir la distribution de la meilleure qualité du signal, ainsi que celles de l'interférence et du maximum des puissances reçues. Nous mettons en évidence comment la singularité de la fonction d'affaiblissement modifie leurs comportements. Nous nous intéressons ensuite au comportement temporel des signaux radios en étudiant le franchissement de seuils par un processus stationnaire $X(t)$. Nous démontrons que l'intervalle de temps que $X(t)$ passe au-dessus d'un seuil $\gamma \to -\infty$ suit une distribution exponentielle, et obtenons également des résultats caractérisant des franchissements par $X(t)$ de plusieurs seuils adjacents. Ces résultats sont ensuite appliqués à la gestion de mobilité dans les réseaux cellulaires. Notre travail se concentre sur la fonction de 'handover measurement'. Nous identifions la meilleure cellule voisine lors d'un handover. Cette fonction joue un rôle central sur l'expérience perçue par l'utilisateur. Mais reste une question ouverte à cause des difficultés posées par la coopération entre plusieurs mécanismes de contrôle qu'elle nécessite. Nous traitons ce problème en proposant des approches analytiques pour les réseaux émergents de types macro et pico cellulaires, ainsi qu'une approche d'auto-optimisation pour les listes de voisinage utilisées dans les réseaux cellulaires actuels.

We propose a simple and general method to obtain the boundary crossing probability for Brownian motion. This method can be easily extended to higher dimensional of Brownian motion. It also covers certain classes of stochastic processes associated with Brownian motion. The basic idea of the method is based on being able to construct a nite Markov chain such that the boundary crossing probability of Brownian motion is obtained as the limiting probability of the nite Markov chain entering a set of absorbing states induced by the boundary. Numerical results are given to illustrate our method.

Extracting the Electric Network Frequency (ENF) fluctuations from an audio recording and comparing it to a reference database is a new technology intended to perform forensic digital audio authentication. The objective of this thesis is to implement and design a range of programs and algorithms for capturing and extracting ENF signals. The developed C-program combined with a probe can be used to build the reference database. Our implementation of the Short-Time Fourier Transform method is intended for the ENF extraction of longer signals while our novel proposed use of the Autoregressive parametric method and our implementation of the zero-crossing approach tackle the case of shorter recordings. A Graphical User Interface (GUI) was developed to facilitate the process of extracting the ENF fluctuations. The whole process is tested and evaluated for various scenarios ranging from long to short recordings.

We propose a simple and general method to obtain the boundary crossing probability for Brownian motion. This method can be easily extended to higher dimensional of Brownian motion. It also covers certain classes of stochastic processes associated with Brownian motion. The basic idea of the method is based on being able to construct a nite Markov chain such that the boundary crossing probability of Brownian motion is obtained as the limiting probability of the nite Markov chain entering a set of absorbing states induced by the boundary. Numerical results are given to illustrate our method.