Power and influence in joint venture relationships and their impact on performance

The purpose of this research was to apply the concepts of power and influence tactics to the joint venture context by examining how they relate to venture performance. In addition, culture and the expectations of future cooperation were examined for their association with influence tactic use and joint venture performance. Data were collected from 58 parent firms of U.S.-based domestic and international joint ventures about their relationships with their partners.^ Under the theories of social exchange and power dependence, a parent's level of power is based on its partner's dependence on the relationship. The statistical results indicated that: (1) the greater the total of power of both parents in an equal power relationship, the greater the joint venture's performance; and (2) the greater the inequality between each parent's level of power, the lower the joint venture's performance. It was also found that the way in which a parent firm tried to influence its partner was related to joint venture performance. Specifically, the use of references to a partner's legitimate authority was negatively related to performance, while the use of rational arguments and compromises was positively related.^ Contrary to expectations, the cultural backgrounds of the parents were not shown to have a relationship to influence tactic use or joint venture's performance. On the other hand, greater expectation of future cooperation had a positive association with performance, and a significant relationship with influence tactic use. The greater the expectation, the less partners used more confrontational tactics such as pressure or legitimate authority. ^

Leader-member exchange and upward influence: Interrelationships and successful consequences

The relationship between leader-member exchange (LMX) and upward influence was investigated in a field sample of 134 employees in four organizations. These variables were related to three outcome variables comprising an employee's job success: (a) current annual salary, (b) overall job satisfaction, and (c) overall reputational effectiveness. Measures used were the LMX7, revised Influence Tactics Questionnaire, overall job satisfaction, and reputational effectiveness questionnaires. A negative relationship was found between coalitions and upward appeal with quality of LMX. Support was also found for the relationship between quality of LMX and overall job satisfaction. Partial support was found for the relationship between upward influence and success variables. Finally, partial support was found for the addition of quality of LMX above and beyond the control variables and influence tactics in explaining an employee's job success. Avenues for future research are discussed. ^

The Broken Mirror: Maternal Agency and Identity in Charles Dickens's Bleak House

This paper examined how Esther Summerson, Dickens’s ideal good mother, can be understood as a woman who has maternal agency and identity both as a character and as a narrator, and how she contrasts with other maternal characters in the novel, both major and minor. While more transgressive mothers, such as Lady Dedlock, Mrs. Jellyby and even Krook’s cat, are doomed to death, ineffectiveness and madness, Esther moves from a frozen, “unsexualized” state into a space of life and sexual possibility. In addition, Esther has agency and identity as a narrator since she shares the narration with a third-person male narrator. Esther becomes the one who speaks rather than the one who is spoken of, and her maternal, nurturing voice provides a balm for the often harsh, judgmental voice of the male narrator. As the narrator’s patriarchal voice dies away at the end, it is Esther’s maternal voice that survives.

Understanding the dynamics of information technology implementation: The case of clinical information systems

The ultimate intent of this dissertation was to broaden and strengthen our understanding of IT implementation by emphasizing research efforts on the dynamic nature of the implementation process. More specifically, efforts were directed toward opening the "black box" and providing the story that explains how and why contextual conditions and implementation tactics interact to produce project outcomes. In pursuit of this objective, the dissertation was aimed at theory building and adopted a case study methodology combining qualitative and quantitative evidence. Precisely, it examined the implementation process, use and consequences of three clinical information systems at Jackson Memorial Hospital, a large tertiary care teaching hospital.^ As a preliminary step toward the development of a more realistic model of system implementation, the study proposes a new set of research propositions reflecting the dynamic nature of the implementation process.^ Findings clearly reveal that successful implementation projects are likely to be those where key actors envision end goals, anticipate challenges ahead, and recognize the presence of and seize opportunities. It was also found that IT implementation is characterized by the systems theory of equifinality, that is, there are likely several equally effective ways to achieve a given end goal. The selection of a particular implementation strategy appears to be a rational process where actions and decisions are largely influenced by the degree to which key actors recognize the mediating role of each tactic and are motivated to action. The nature of the implementation process is also characterized by the concept of "duality of structure," that is, context and actions mutually influence each other. Another key finding suggests that there is no underlying program that regulates the process of change and moves it form one given point toward a subsequent and already prefigured end. For this reason, the implementation process cannot be thought of as a series of activities performed in a sequential manner such as conceived in stage models. Finally, it was found that IT implementation is punctuated by a certain indeterminacy. Results suggest that only when substantial efforts are focused on what to look for and think about, it is less likely that unfavorable and undesirable consequences will occur. ^

Improved Criteria for Estimating Calibration Factors for Highway Safety Manual (HSM) Applications

The Highway Safety Manual (HSM) estimates roadway safety performance based on predictive models that were calibrated using national data. Calibration factors are then used to adjust these predictive models to local conditions for local applications. The HSM recommends that local calibration factors be estimated using 30 to 50 randomly selected sites that experienced at least a total of 100 crashes per year. It also recommends that the factors be updated every two to three years, preferably on an annual basis. However, these recommendations are primarily based on expert opinions rather than data-driven research findings. Furthermore, most agencies do not have data for many of the input variables recommended in the HSM. This dissertation is aimed at determining the best way to meet three major data needs affecting the estimation of calibration factors: (1) the required minimum sample sizes for different roadway facilities, (2) the required frequency for calibration factor updates, and (3) the influential variables affecting calibration factors. In this dissertation, statewide segment and intersection data were first collected for most of the HSM recommended calibration variables using a Google Maps application. In addition, eight years (2005-2012) of traffic and crash data were retrieved from existing databases from the Florida Department of Transportation. With these data, the effect of sample size criterion on calibration factor estimates was first studied using a sensitivity analysis. The results showed that the minimum sample sizes not only vary across different roadway facilities, but they are also significantly higher than those recommended in the HSM. In addition, results from paired sample t-tests showed that calibration factors in Florida need to be updated annually. To identify influential variables affecting the calibration factors for roadway segments, the variables were prioritized by combining the results from three different methods: negative binomial regression, random forests, and boosted regression trees. Only a few variables were found to explain most of the variation in the crash data. Traffic volume was consistently found to be the most influential. In addition, roadside object density, major and minor commercial driveway densities, and minor residential driveway density were also identified as influential variables.