401,767 research outputs found

    An extensive structural model for supply chain quality management and firm performance

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    Purpose: This study was carried out to create a research model investigating the impact of supply chain quality management (SCQM) practices on firm performance. Design/methodology/approach: Based on a comprehensive literature review, the practices were suggested. These SCQM practices will be analyzed and categorized into 4 dimensions: upstream (supplier assessment, supplier quality management), downstream sides of a supply chain (customer focus), internal process (product/service design, process management and logistics) and support practices (top management support, human resource management, information and supply chain integration). The measurement instrument of firm performance was developed including three aspects: operational performance, customer satisfaction and financial performance. Findings: A conceptual framework and a structural model were proposed as well as the development of hypotheses on the paths. Research limitations/implications: It is necessary to test the rationality of this model by empirical studies in different contexts. Originality/value: The research considers integration of quality and supply chain management still remains limited in the literature. Therefore, it is necessary to have a more focused approach in assessing quality management issues within the internal and external supply chain contexts. This study concentrates on the practices which improve quality aspects of supply chain, known as SCQM practices. Proposed structural model in this paper not only fills the voids in the literature but contributes a parsimonious conceptual framework for theory building in SCQM and firm performance. It also expects to offer a useful guidance for measuring and implementing SCQM practices as well as facilitate further studies in this field

    The Impact of Customer Relationship Management on Caller Satisfactions in Customer Contact Centers: Evidence from Malaysia

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    Available literatures have established customer relationship management (CRM) as giving opportunity to both internal and external customers of an organization in exploring critical information through the integration of company’s telephone system, chat groups, Interactive voice response, facsimile transmission, electronic data interchange, voice over internet, web sites and e-mail touch points that will result in satisfying customer self services for new product purchases, assist in up-selling and cross selling and creating customer loyalty, value and profitability. Despite the enormous increasing acknowledgement of CRM importance, very little studies have focused on the impact of CRM applications on inbound customer contact center performance. This empirical research explored the relationship between CRM dimensions, first call resolutions, perceived service quality and caller satisfactions within the inbound call centers. A conceptual framework was developed based on the extant literatures and information that were obtained from initial interviews with call center managers. The research model incorporated key CRM constructs; customer orientation, CRM organization, knowledge management and technology based CRM and also investigated the impact of these dimensions on first call resolution (FCR), perceived service quality and caller satisfaction. Importantly, FCR and perceived service quality were considered as critical antecedents to caller satisfaction. In this quantitative study, a survey of 168 call center managers in Malaysia was analyzed through structural equation modeling, constituting an overall 43.3% response rate. The research findings indicated that out of the four hypothesized positive relationship between CRM dimensions and caller satisfaction, three were supported. The findings also indicated that first call resolutions have significant influence on caller satisfactions. Key benefits for practitioners and academia was finally discussed under the theoretical and practical implications, while necessary suggestions on new area of research were recommended for future researchers

    An empirical assessment of logistics/supply chain management in two Latin American countries

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    The Bowersox Daugherty (1987) logistics strategy typology (Process Strategy, Market Strategy, and Information Strategy) is an important conceptual framework for studying logistics/supply chain management strategy and its role on logistics/supply chain management outcomes. The purpose of this research is to empirically apply the typology in Peru and compare the findings with the previous research conducted in Guatemala. The three Bowersox/Daugherty dimensions are used to define the construct Overall Logistic Strategy (OLS), and then, the OLS was used to measure Organizational Competitiveness (COMP) through two intervening variables LCE (Logistics Coordination Effectiveness) and CSC (Customer Service Commitment). The results indicate that generally the logistics strategy in Peru is fundamentally similar to Guatemala’s. In other words, the direction of the relationships among the conceptualized constructs tested in the SEM model was significant and explained a sizable variation in COMP in both countries. This provided additional support for the robustness of the structural model in different cultural environments. However, some differences are apparent. First, the importance of the three independent variables and three dependent variables appear to be greater to the Peruvian respondents than Guatemalan respondents. Second, on closer inspection Peruvian logistics data indicates relatively greater emphasis on information, coordination, customer service, and relatively less emphasis on cost efficiency, than Guatemalan managers. Managerial insights and suggestions for future research and discussed

    A transition to knowledge-intensive service activities in power industry: A theoretical framework

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    The current smart energy transition is accompanied by major transformations in the aspects of technology, market, and organization. The intensive adoption of digital technology in energy production, the rapid spread of distributed generation, micro-grids and energy storage and accumulation solutions, and an ever-increasing integration between the energy sector and other critical infrastructure sectors have brought about fundament changes in the relationships between energy companies and the market. This creates a strong demand for versatile support services for these processes. The article makes an attempt to construct a conceptual framework for and to outline the tasks and goals of knowledge-intensive services in the new energy industry. The author provides justification for the key properties of knowledge-intensive services that include adaptability, the capability of self-tuning, a wide use of information and telecommunication technologies, a tendency to use a pro-active approach to systems and process management, and the availability of staff with outstanding qualifications. The author has developed a conceptual model of knowledge-intensive services in the energy sector that makes it possible to group the service segments by the dimensions of “energy market optimization and customer relations”, “asset lifecycle management”, “organizational flexibility of energy market agents”. Recommendations are given as to how to develop knowledge-intensive service activities in energy companies, including through the creation of corporate platforms and smart partnerships with universities and science. © 2019 WIT PressACKNOWLEDGEMENT The work was supported by Act 211 of the Government of the Russian Federation, contract № 02.A03.21.0006

    Determinants of the outcomes of services outsourcing: an empirical study of transport services.

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    The purpose of our study is to examine whether the design and management of the interfaces and interaction processes between customer and provider in services outsourcing are determinants of the results achieved by the outsourcing company. Following the conceptual framework initiated in the study by Wynstra et al. [11], this study focuses on transport services and hypothesized relationships are tested using the Partial Least Squares (PLS) statistical technique. The primary data used was obtained from a survey in three different countries (Germany, Japan and Spain), and from manufacturing companies in the electronics, automotive and machinery sectors. Among other things, the results show that both the structural dimensions of interaction (the organization's resources that it must commit) and the process dimensions of interaction (that consider the dynamic nature of the relationships), are important for obtaining adequate performance from transport services outsourcing.Spanish National Program of Industrial Design and Production DPI 2009 11148PAIDI Excellence Projects P08-SEJ0384
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