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As firms attempt to speed decision making, improve their business processes, and become more market-oriented, they have a number of managerial prescriptions to choose from. Most share a common theme: [...]

The article examines the impact of e-commerce in business to business marketing on supply chain management and organizational structure.

Purpose -- The purpose of this model is to explain how person -- organization fit (P -- O fit) and competitive intensity, conceptualized as a job resource and a job demand, respectively, ultimately affect the development of frontline employee boundary-spanning behavior (BSB). Design/methodology/approach -- A survey methodology was used incollecting data from a sample of bank employees in South Korea. To analyze the data, a structural equation model procedure using LISREL 8.5 was used (Jöreskog and Sörbom, 1996). Findings -- Results suggest that a frontline employee's P -- O fit decreases emotional exhaustion and increases achievement-striving motivation. Competitive intensity significantly reduces achievement-striving motivation. Results also show that competitive intensity significantly attenuates the positive relationship between P -- O fit and employee achievement-striving motivation, highlighting the importance of contextual industry stressors upon internal organizational behaviors. Both emotional exhaustion and achievement-striving motivation are found to ultimately affect BSBs except for the link between emotional exhaustion and service delivery. Originality/value -- The current study applies the job-demands resources model to demonstrate how both an externally initiated job demand (competitive intensity) and an internally oriented job resource (person -- organization fit) influence employee experience of emotional exhaustion and achievement-striving motivation. Interaction effects of P -- O fit and competitive intensity on employee's psychological states (emotional exhaustion and achievement-striving motivation) are also examined. Further, it is demonstrated that both emotional exhaustion and achievement-striving motivation will directly influence service employee boundary-spanning behaviors, but in differential manners. This highlights the importance of exhaustion and motivation as mediators for the ultimate effect of a job resource (P -- O fit), answering a call for such understanding of the developmental process for BSBs (Podsakoff et al., 2000). This is the first empirical study to link both internal and external elements to illuminate the process for developing job demands and resources, as well as boundary spanning behaviors. [ABSTRACT FROM AUTHOR]

Purpose – A growing body of literature reveals that the domain of customer co-production of goods is expansive. Many research articles in the area of co-production of goods, however, have focused on specific sub-areas within the larger domain. One result of these multiple lines of inquiry is that they establish overlapping construct names and definitions. The purpose of this article is to propose a classification schema of customer co-production of goods based on general systems theory (GST). Design/methodology/approach – A logical partitioning approach was employed. Findings – A classification schema of co-production of goods is derived from two criteria: the nature of the customer's input and the customer's autonomy. The classification suggests six sub-areas of co-production of goods: restricted co-manufacturing, unrestricted co-manufacturing, co-ideation, co-design, mass customization, and participation loop. Practical implications – The distinction of activities involving co-production of goods guides practitioners in the generalization of research findings and the selection of participation opportunities for their customers. Originality/value – This study proposes the first classification schema of co-production activities resulting in tangible goods. The classification reduces the overlap of constructs and definitions, defines the domain of co-production of goods, aids in the construction of nomological networks, and delimits generalizations drawn from empirical research. The authors recommend that researchers interested in co-production of goods should use the schema to guide their theory development and empirical research designs. [ABSTRACT FROM AUTHOR]