The purpose of this three-essay dissertation is to synthesize and extend the effects of decentralization in decision-making and supply chain complexity in the context of supply chain resilience (SCRES).First essay contributes to theory and practice by expanding resilience thinking into including supply chain orientation and organizational structure and their implications and also responds to prior research arguing for the importance of identifying organizational factors that improve supply chain resilience. Second essay contributes to the supply chain organizational structure and SCRES literature by not just providing empirical support for decentralization of decision making in times of disruptions but more precisely by showing the factors that either impede or facilitate decentralization at the organizational level. Understanding the interplay among these factors is critical to explaining the lack of success for decentralization in the context of SCRES. Third essay contributes to practice by reviewing some of the major complexity drivers present in the supply chains and providing strategies along with a four-step process that practitioners can use to manage complexity.

<p>The purpose of this research is to refine the notion of Supply Chain Orientation (SCO) as originally posited by Mentzer et al. (2001) and Min and Mentzer (2004). Supply chain orientation is defined to be “the extent to which there is a predisposition among chain members toward viewing the supply chain as an integrated entity and on satisfying chain needs in an integrated way” (Hult et al., 2008, p. 527). This orientation (management philosophy), when implemented, manifests as Supply Chain Management (SCM) within and across organizations.</p> <p>The process of ‘refining’ supply chain orientation involved three stages: determining additional SCO factors / indicators beyond those already in existence, refining the total set of factors / indicators through factor analysis techniques, and associating the SCO concept to other SCM-related concepts. Determining additional SCO factors and the vetting of the existing SCO model was done through a qualitative method (structured interviews with industry experts). Analysis of the interview data resulted into two new SCO factors—SCM Capability and Measurement Propensity—being identified. The high accuracy / low generalizability nature of the interview process required an industrywide survey in order to gather su cient quantitative data for a meaningful analysis. The new SCO factors were developed into survey questionnaire measurement items.</p> <p>An invitation to participate in a web-based, quantitative survey was e-mailed to executive at roughly a third of the manufacturing companies in Canada. The results of that data gathering exercise were analyzed in a multi-stage process. First, after removing ‘motherhood statements’ from the indicator set, an exploratory factor analysis (EFA) was conducted to determine the underlying structure of SCO. Three factors—Benevolence (Trust), Internal SCM Focus, and Partner Reliability—emerged through this process. This “refined” SCO construct was then subject to a rigourous confirmatory factor analysis (CFA) process. </p> <p>The CFA process found the SCO factors to be reliable. A dependent variable, Supply Chain Operational Performance (SCOP) was found to be positively influenced by changes in SCO. SCO was found to be a unique strategic orientation through the literature review process and validated as its own construct through a discriminant validity process. SCO was determined to be a second-order reflective latent variable, and top management support was found to be an antecedent to SCO.</p> <p>Of interest to SCM practitioners and academics, SCO was found to be statistically invariable between respondents who were or were not members of a SCM industry association. As well, SCO did not vary outside statistical bounds across the supply chain from ultimate supplier (Earth) to ultimate customer. However, SCO was found to be stronger in companies that employed an “e cient” supply chain strategy (using the taxonomy of Lee (2002)) versus other generic strategies (like “agile” supply chain strategy).</p> <p>The contributions of this research to academics include a parsimonious definition of SCO which meets the criteria of Wacker (1998), an operationalization of the Lee (2002) model, and additional evidence of the power of Parallel Analysis (PA) of Thompson (2004) in determining factors in an EFA. Supply chain orientation is an important theoretical ‘building block’ from which SCM theory can be built and through the refinement process, SCO was tied into the dynamic capabilities area of the larger resource-based view (RBV) theoretical framework.</p> <p>Supply chain orientation was found to positively influence SCOP. The Council of Supply Chain Management Professionals reported that business logistics (SCM) costs in the United States alone in 2009 were 1.3 trillion dollars. Hence, improving upon the understanding of the mechanisms of supply chain management and its components can have substantial economic consequences.</p>

<p>The purpose of this research is to refine the notion of Supply Chain Orientation (SCO) as originally posited by Mentzer et al. (2001) and Min and Mentzer (2004). Supply chain orientation is defined to be “the extent to which there is a predisposition among chain members toward viewing the supply chain as an integrated entity and on satisfying chain needs in an integrated way” (Hult et al., 2008, p. 527). This orientation (management philosophy), when implemented, manifests as Supply Chain Management (SCM) within and across organizations.</p> <p>The process of ‘refining’ supply chain orientation involved three stages: determining additional SCO factors / indicators beyond those already in existence, refining the total set of factors / indicators through factor analysis techniques, and associating the SCO concept to other SCM-related concepts. Determining additional SCO factors and the vetting of the existing SCO model was done through a qualitative method (structured interviews with industry experts). Analysis of the interview data resulted into two new SCO factors—SCM Capability and Measurement Propensity—being identified. The high accuracy / low generalizability nature of the interview process required an industrywide survey in order to gather su cient quantitative data for a meaningful analysis. The new SCO factors were developed into survey questionnaire measurement items.</p> <p>An invitation to participate in a web-based, quantitative survey was e-mailed to executive at roughly a third of the manufacturing companies in Canada. The results of that data gathering exercise were analyzed in a multi-stage process. First, after removing ‘motherhood statements’ from the indicator set, an exploratory factor analysis (EFA) was conducted to determine the underlying structure of SCO. Three factors—Benevolence (Trust), Internal SCM Focus, and Partner Reliability—emerged through this process. This “refined” SCO construct was then subject to a rigourous confirmatory factor analysis (CFA) process. </p> <p>The CFA process found the SCO factors to be reliable. A dependent variable, Supply Chain Operational Performance (SCOP) was found to be positively influenced by changes in SCO. SCO was found to be a unique strategic orientation through the literature review process and validated as its own construct through a discriminant validity process. SCO was determined to be a second-order reflective latent variable, and top management support was found to be an antecedent to SCO.</p> <p>Of interest to SCM practitioners and academics, SCO was found to be statistically invariable between respondents who were or were not members of a SCM industry association. As well, SCO did not vary outside statistical bounds across the supply chain from ultimate supplier (Earth) to ultimate customer. However, SCO was found to be stronger in companies that employed an “e cient” supply chain strategy (using the taxonomy of Lee (2002)) versus other generic strategies (like “agile” supply chain strategy).</p> <p>The contributions of this research to academics include a parsimonious definition of SCO which meets the criteria of Wacker (1998), an operationalization of the Lee (2002) model, and additional evidence of the power of Parallel Analysis (PA) of Thompson (2004) in determining factors in an EFA. Supply chain orientation is an important theoretical ‘building block’ from which SCM theory can be built and through the refinement process, SCO was tied into the dynamic capabilities area of the larger resource-based view (RBV) theoretical framework.</p> <p>Supply chain orientation was found to positively influence SCOP. The Council of Supply Chain Management Professionals reported that business logistics (SCM) costs in the United States alone in 2009 were 1.3 trillion dollars. Hence, improving upon the understanding of the mechanisms of supply chain management and its components can have substantial economic consequences.</p>

Submitted by Fabricia Fialho Reginato (fabriciar) on 2015-07-22T23:50:35Z No. of bitstreams: 1 MuriloBranco.pdf: 2785891 bytes, checksum: 808d727beaff6095c734eadf6ea4f59a (MD5) / Made available in DSpace on 2015-07-22T23:50:35Z (GMT). No. of bitstreams: 1 MuriloBranco.pdf: 2785891 bytes, checksum: 808d727beaff6095c734eadf6ea4f59a (MD5) Previous issue date: 2013-03 / Tecon Rio Grande / São crescentes os estudos voltados para o desenvolvimento de estratégias de integração e orientação à cadeia de suprimentos. Porém, a especificidade de cada cadeia exige que estudos sejam delineados conforme as características de cada indústria. Este trabalho pretende apresentar um modelo que auxilie na gestão de relacionamentos estratégicos de um terminal de containers, com base em conceitos relacionados a orientação à cadeia de suprimentos. O modelo é originado a partir da extensão do modelo de integração proposto por Lambert et al. (1998) e do modelo de mensuração da integração dos terminais portuários, desenvolvido por Song e Panayides (2007) e Panayides e Song (2008). Nesta proposta, são delimitados 3 diferentes níveis de relacionamento estratégico: monitoramento, mediação e criação de soluções, desenvolvidos a partir da inteligência de mercado que baliza os relacionamentos chave dimensionados pela estratégia do terminal portuário. O presente estudo propõe a aplicação do modelo desenvolvido no Tecon Rio Grande, terminal de containers do Porto de Rio Grande, a partir de duas etapas de pesquisa. A primeira etapa é uma pesquisa quantitativa e serviu para dimensionar a aderência entre a estratégia de orientação à cadeia da organização com relação aos seus relacionamentos chave, identificando possíveis discrepâncias. Nesta primeira etapa é apresentado o mapa de orientação ao relacionamento estratégico, ferramenta fundamental para análise. A segunda etapa trata-se de uma pesquisa qualitativa realizada para identificar os motivos das distorções apontadas pelos usuários chave da cadeia. Os resultados empíricos encontrados nas duas etapas da pesquisa demonstram que o modelo estendido apresentado alcança seu objetivo de identificar a OCS percebida e as variações aos diferentes níveis de relacionamento estrtégico, resultando como ferramenta para gestão de relacionamentos chave de terminais portuários. / There are increasing studies focused on the development of integration strategies and guidance to the supply chain. However, the specificity of each chain requires studies delineated according to the characteristics of each industry. This work intends to present a model that assists in managing strategic relationships of a container terminal, based on concepts related to supply chain orientation. The model is derived from the extent of the integration model proposed by Lambert et al. (1998) and the measurement model of the integration of port terminals, developed by Song and Panayides (2007) and Panayides and Song (2008). At this model are defined three different levels of strategic relationships: monitoring, mediation and creating solutions developed from market intelligence and targeted to key relationships scaled by the strategy of the port terminal. This study proposes to apply the model developed in Tecon Rio Grande, container terminal at the Port of Rio Grande, from two stages of research. The first step is a quantitative research and served to scale the adhesion between the chain orientation strategies of the organization with respect to their key relationships, identifying possible discrepancies. In this first step is also presented the map of the strategic relationship orientation, a fundamental tool for analysis. The second stage it is a qualitative research conducted to identify the reasons for the distortions noted by the chain members. Empirical results demonstrate that the extended model presented can be used as a tool for management of key relationships.

The evolution of supply chain management has made significant and continuous contributions to logistical processes. This is highly relevant to crude oil logistics in Nigeria, because both indigenous and multinational oil companies who distribute crude oil from Nigerian ports are yet to adopt an integrated export logistics operation. Besides, the study explores the philosophy of supply chain management applying theoretic frameworks of supply chain process management, demand variability, and vertical integration to encourage integrated export logistics for the distribution of crude oil from Nigeria to China. In addition, the research objectives are: to identify the components of crude oil exports; to review the principles of integrated supply chain management; to analyse crude oil demand in China; to evaluate the efficiency of oil distribution, and to propose strategies that will raise the efficiency of crude oil exports to China from Nigeria. A conceptual model was developed to identify relevant issues that guide the synergy of China’s requirement for energy security and Nigeria’s crude oil supply capability. Also, both a Delphi survey and an archival research method’s were adopted to elucidate on the characteristics of the research population, the shipment frequencies between the two countries, and the sources of competing crude oil exports to China. Measures of central tendency from respondent feedback and non-parametric tests support the study’s findings. Furthermore, recommendations for strategic, operational, and tactical organisation of resources were identified to raise integrated crude oil export efficiency from Nigeria to China directed by the theoretic framework. Moreover, their implications for sustainable logistics practice in the short, medium, and long-term are considered. Finally, it was found that adopting vertical integration in a crude oil supply chain will ensure responsiveness to support export efficiency, and enhance the geographic characteristics of Nigeria for increased export shipments to China.