Thesis (Ph. D.)--Ohio State University, 2005. / Available online via OhioLINK's ETD Center; full text release delayed at author's request until 2006 Nov 30

Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 156-173).

Ample evidence from the literature suggests that in recent years, banks have been heavily investing in customer relationship management (CRM) systems. The reasons for this are traced to banks' emergent need to gain and sustain competitive advantage through greater knowledge of their customers. In turn, this increased knowledge is likely to also lead to increased: a) customer base, b) customer satisfaction, c) customer retention and, d) customer loyalty. The literature suggests that there is a knowledge gap, which relates to the reasons for CRM systems in adoption and usage as service delivery channels, as well as its effects on banks' customers. This is particularly the case with regards to the banks' customers' buying behaviour and is stemming from the fact that bank customers display some unique buying patterns. Based on the above, the aim of this study is to find out whether or not there is a potential influence of newly implemented CRM systems on consumer buying behaviour in the context of the Nigerian banking industry and also to assess the extent and nature of this influence (if any).

A key challenge facing dairy farming is to meet the increasing demand for dairy products from a growing and more affluent global population in a period of unprecedented socio-economic and environmental change. In order to address this challenge, policies are currently placing emphasis on ‘sustainable intensification’ (SI), i.e. producing ‘more’ outputs and services with ‘less’ resources and environmental impacts. Determining whether or not SI can deliver greater yet sustainable dairy production requires understanding of the relationships between sustainability pillars (environmental; economic; and social) and farm aspects (e.g. on-farm management; and animal productivity) under particular farming systems and circumstances (e.g. regional bio-physical conditions). Trade-offs between pillars and aspects is inevitable within a farming system. Many widely-used assessment methods that aim to measure, scale and weight these pillars and aspects are unable to fully capture trade-offs between them. The objectives of this thesis are: 1) to identify key trade-offs in dairy farming systems to inform greater yet sustainable food production; and 2) to introduce models and methodologies aiming at a more holistic measurement and better understanding of dairy farm sustainability. This thesis assesses the sustainability of French and UK dairy farming systems via a farm efficiency benchmarking modelling framework coupled with statistical analyses. It explores the relationships between pillars, aspects and technical, economic and environmental performance; and identifies important drivers/differentials in dairy farm efficiency. Importantly, it also suggests ways in which farm inputs and outputs can be adjusted so that improvements in environmental, technical and economic performance become feasible. Efficiency benchmarking was performed with the multiple-input – multiple-output productive efficiency method Data Envelopment Analysis (DEA). DEA calculates single aggregated efficiency indices per farm by accounting for several farm inputs and outputs which the DEA model endogenously scales and weights. In this work, the notion of farm inputs and outputs was extended to also include ‘undesirable’ outputs (greenhouse gas emissions) and environmental impacts (e.g. eutrophication, acidification etc.) of dairy farming. The DEA models employed belong to the family of ‘additive’ models, which have several advantages over ‘traditional’ DEA models. These include their ability (i) to simultaneously increase outputs and reduce inputs, undesirable outputs and environmental impacts; (ii) to identify specific sources of inefficiency. These ‘sources’ represent a farm’s shortfalls in output production and its excesses in input use and/or in undesirable outputs and environmental impacts, relatively to the other farms; (iii) to position undesirable outputs in the output set rather than consider them as inputs or ‘inverse’ outputs; and (iv) to rank farms by efficiency performance. Importantly, this thesis also proposes a new additive model with a ranking property and high discriminatory power. In a second stage, DEA was coupled with partial least squares structural equation modelling (SEM) so as to develop and relate latent variables for environmental performance, animal productivity and on-farm management practices. The results suggested that the efficacy of SI may be compromised by several on-farm trade-offs between pillars, aspects and farm inputs and outputs. Moreover, trade-offs depended on particular farming systems and circumstances. Increasing animal productivity did not always improve farm environmental performance at whole farm-level. Intensifying production at animal and farm-levels, coupled with high reliance on external inputs, reduced farm environmental performance in the French case, i.e. a significant negative relationship was found between intensification and environmental performance (SEM path coefficients ranged between -0.31 and -0.57, p < 0.05). Conversely, in the UK case, systems representing animal-level intensification (via genetic selection) for increased milk fat plus protein production performed better, on average, than controls of UK average genetic merit for milk fat plus protein production in terms of technical efficiency (DEA scores between 0.91– 0.92 versus 0.78–0.79) and environmental efficiency (scores between 0.92–0.93 versus 0.80), regardless of whether on a low-forage or high-forage diet. The levels of inefficiency in (undesirable) outputs, inputs and environmental impacts varied among farming systems and depended on the regional and managerial characteristics of each system. For instance, in France, West farms had higher eutrophication inefficiencies than East farms (average normalized eutrophication inefficiencies were, respectively 0.141 and 0.107), perhaps because of their more intensive production practices. However, West farms were more DEA-efficient than East farms as the former benefited from bio-physical conditions more favourable to dairy farming (mean DEA score ranks were 97 for West and 83 for East). Such findings can guide policy incentives for SI in different regions or dairy systems. The proposed modelling framework significantly contributes to current knowledge and the search for the best pathways to SI, improves widely-used modelling approaches, and challenges earlier findings based on less holistic exercises.

abstract: This study presents a structural model of coping with dating violence. The model integrates abuse frequency and solution attribution to determine a college woman's choice of coping strategy. Three hundred, twenty-four undergraduate women reported being targets of some physical abuse from a boyfriend and responded to questions regarding the abuse, their gender role beliefs, their solution attribution and the coping behaviors they executed. Though gender role beliefs and abuse severity were not significant predictors, solution attribution mediated between frequency of the abuse and coping. Abuse frequency had a positive effect on external solution attribution and external solution attribution had a positive effect on the level of use of active coping, utilization of social support, denial and acceptance. / Dissertation/Thesis / Ph.D. Counseling Psychology 2011

abstract: Lexical diversity (LD) has been used in a wide range of applications, producing a rich history in the field of speech-language pathology. However, for clinicians and researchers identifying a robust measure to quantify LD has been challenging. Recently, sophisticated techniques have been developed that assert to measure LD. Each one is based on its own theoretical assumptions and employs different computational machineries. Therefore, it is not clear to what extent these techniques produce valid scores and how they relate to each other. Further, in the field of speech-language pathology, researchers and clinicians often use different methods to elicit various types of discourse and it is an empirical question whether the inferences drawn from analyzing one type of discourse relate and generalize to other types. The current study examined a corpus of four types of discourse (procedures, eventcasts, storytelling, recounts) from 442 adults. Using four techniques (D; Maas; Measure of textual lexical diversity, MTLD; Moving average type token ratio, MATTR), LD scores were estimated for each type. Subsequently, data were modeled using structural equation modeling to uncover their latent structure. Results indicated that two estimation techniques (MATTR and MTLD) generated scores that were stronger indicators of the LD of the language samples. For the other two techniques, results were consistent with the presence of method factors that represented construct-irrelevant sources. A hierarchical factor analytic model indicated that a common factor underlay all combinations of types of discourse and estimation techniques and was interpreted as a general construct of LD. Two discourse types (storytelling and eventcasts) were significantly stronger indicators of the underlying trait. These findings supplement our understanding regarding the validity of scores generated by different estimation techniques. Further, they enhance our knowledge about how productive vocabulary manifests itself across different types of discourse that impose different cognitive and linguistic demands. They also offer clinicians and researchers a point of reference in terms of techniques that measure the LD of a language sample and little of anything else and also types of discourse that might be the most informative for measuring the LD of individuals. / Dissertation/Thesis / Ph.D. Speech and Hearing Science 2011

This dissertation involved the development of a new construct, perceived privacy breach (PPB), to evaluate how a person perceives breaches of privacy in terms of whether they perceive any exchange of information was fair or not and how they believe it will impact people whose information has been shared. This instrument assists researchers to understand how a person perceives a possible breach of privacy. The PPB instrument was created after conducting a pilot study of approximately 200 undergraduate students and testing the data for possible dimensions in an Exploratory Factor Analysis (EFA). The EFA resulted in a concise 14 item questionnaire with three dimensions: dispersion, fairness, and impact. The PPB instrument was utilized in a larger study with 285 participants after a small pilot test (n=27) to study the impact of perceptions of privacy preaches upon a person's level of concern for his or her own privacy and the effect it has on their trust in organizations to protect their privacy in relation to their usage of Internet search engines. It also studied how the combination of perceptions of privacy breaches, general privacy concern, and trust had an impact on a person's anxiety and decision to continue using online search engines. The study also theorized that a person's concern for privacy and use of search engines might result in cognitive dissonance, which might have an effect on the way people think about privacy issues. The model was analyzed using a two step process. First a confirmatory factory analysis (CFA) using the software application EQS was run on the measurement model, in which all the instruments were assessed. The perceived privacy breach instrument had a Cronbach's alpha value of .89. The structural model was run in EQS and achieved a CFI fit of .86. There was a statistically significant relationship between perceived privacy breach and privacy concern, and between privacy concern and trust. Increase in trust was shown to have an effect on technology usage attitude. Hypotheses involving cognitive dissonance showed statistically significant results in the opposite direction.

The increasing emphasis on integration among members of a supply chain has led to new mechanisms to help firms coordinate the flow of products, services, and information through the supply chain. Many studies support the importance and influence of supply chain integration on firm performance but only a few focus on factors driving the integration practices. Moreover, the role of organizational contextual factors that could influence supply chain integration has been largely overlooked. This research examines firms' internal and external drivers of supply chain integration, as well as evaluates the impact of the integration on firm performance. This study further investigates the moderating role of organizational culture, based on the dimensions of control-flexibility orientation and internal-external focus, in strengthening or weakening the relationships between supply chain integration and its antecedents. For the purpose of this study, manufacturing firms were identified as the focal firms in supply chains, and thus data was collected through a survey of 223 Indonesian-based manufacturing firms. Two informants from each firm became the respondents. Structural equation modeling was used to analyze the data, and this study confirmed the positive relationships between supply chain integration and firm performance. The results also indicated that internal driver, or specifically firms' customer orientation, triggered the initiation of supply chain integration. Other factors, such as demand uncertainty, supply uncertainty, technology uncertainty, as well as firms' anticipation of benefits, were not significantly related to the degree of supply chain integration. Furthermore, focal firms with external focus were pursuing a higher degree of supply chain integration than those with internal focus. By investigating the linkages between internal and external drivers, supply chain integration, firm performance, and organizational culture, this study attempts to contribute to the Operations Management discipline, especially to the area of supply chain management. Implications for research and practice are discussed.

abstract: This study investigated the role of broad cognitive processes in the development of mathematics skills among children and adolescents. The participants for this study were a subsample of a nationally representative sample used in the standardization of the Woodcock-Johnson III Tests of Cognitive Abilities and the Woodcock-Johnson III Tests of Achievement, Normative Update (Woodcock, McGrew, & Mather, 2007). Participants were between 5 years old and 18 years old (N = 4721; mean of 10.98 years, median of 10.00 years, standard deviation of 3.48 years), and were 50.7% male and 49.3% female. Structural equation models supported the theoretical suggestion that broad cognitive processes play significant and specific roles in the development of mathematical skills among children and adolescents. Implications for school psychology researchers and practitioners are discussed. / Dissertation/Thesis / Ph.D. Educational Psychology 2012

学位授与大学：京都大学 ; 取得学位: 博士(工学) ; 学位授与年月日: 2007-09-25 ; 学位の種類: 新制・課程博士 ; 学位記番号: 工博第2848号 ; 請求記号: 新制/工/1419 ; 整理番号: 25533 / Kyoto University (京都大学) / 0048 / 新制・課程博士 / 博士(工学) / 甲第13377号 / 工博第2848号 / 新制||工||1419(附属図書館) / 25533 / UT51-2007-Q778 / 京都大学大学院工学研究科都市社会工学専攻 / (主査)教授 岡田 憲夫, 教授 中川 大, 教授 多々納 裕一 / 学位規則第4条第1項該当