Effects of Supplier and Customer Integration on Product Innovation and Performance: Empirical Evidence in Hong Kong Manufacturers

While the beneficial impacts of supplier and customer integration are generally acknowledged, very few empirical research studies have examined how an organization can achieve better product performance through product innovation enhanced by such integration. This paper thus examines the impact of key supplier and customer integration processes (i.e., information sharing and product codevelopment with supplier and customer, respectively) on product innovation as well as their impact on product performance. It contributes to existing literature by asking how such integration activities affect product innovation and performance in both direct and indirect ways. After surveying 251 manufacturers in Hong Kong, this study tested the relationships among information sharing, product codevelopment, product innovativeness, and performance with three control variables (i.e., company size, type of industry, and market certainty). Structural equation modeling with correlation and t‐tests was used to test the hypothesized research model. The findings indicate a direct, positive relationship between supplier and customer integration and product performance. In particular, this study verifies that sharing information with suppliers and product codevelopment with customers directly improves product performance. In addition, this study empirically examines the indirect effects of supplier and customer integration processes on product performance, mediated by innovation. This has seldom been attempted in previous research. The empirical findings show that product codevelopment with suppliers improves performance, mediated by innovation. However, the sampled firms cannot improve their product innovation by sharing information with their current customers and suppliers as well as codeveloping new products with the customers. If the adoption of supplier and customer integration is not cost free, the findings of this study may suggest firms work on particular supplier and customer integration processes (i.e., product codevelopment with suppliers) to improve their product innovation. The study also suggests that companies codevelop new products only with new customers and lead users instead of current ones for product innovation. For managers, this study has demonstrated that both information sharing and product codevelopment affect performance directly and indirectly. Managers should put more emphasis on these key processes, especially when linked with product innovation. Managers should consider involving their suppliers and customers in the early stages of design. Information sharing with suppliers is also important in product development. As suggested by this study, extensive effort on supplier and customer integration should be made to directly augment current product performance and product innovation at the same time.     

A conceptual framework for public-private interplay in the telecommunications sector

Public activity in the telecommunications industry has experienced important transformations in the last decade: “reinvolvement” in infrastructure deployment, “innovative” boosting measures, and decentralisation of some decisions. Conceptually, even more important than the measures themselves is the fact that private agents often participate in their realisation and execution. This paper reviews how justifications for public action that would apply to any economic activity area have modelled the public-private relationship in the telecommunications sector. Subsequently, it focuses on the analysis of the new spaces for public-private collaboration that are currently opening up.     

The exchange rate cycle in Argentina

This article discusses the secular volatility of output, inflation, the exchange rate, and poverty in Argentina. Inflation, currency devaluation and a wide gross domestic product (GDP) cycle have been recurrent problems in Argentina for several decades. The literature has extensively discussed those issues from different viewpoints. This study focuses on a relatively unexplored theme that may contribute to a partial explanation. It deals with the continuous tendency to equalize different profitabilities resulting, in turn, from remarkably different sectoral purchasing power parities. Thus, for any given exchange rate, an incessant tendency toward the equalization of profitabilities generates opposing inflationary and devaluatory pressures. The resulting inflation-devaluation cycle feeds income redistribution, GDP fluctuation, real exchange rate instability, and high levels of uncertainty.     

Social and organizational capital: Building the context for innovation

In the light of the key role intellectual capital has for firms' innovation capability, this paper analyzes the influence of two of their dimensions, organizational capital and social capital, on firms' product innovation, and the moderating role of radicalness. Unlike previous studies, the unit of analysis will not be the firm, but the R&D department. Thus, our research, conducted with a sample of Spanish industrial companies, provides a new insight with interesting results. First, our findings show that social capital favours firms' product innovation, especially under radical innovations. Second, organizational capital has an indirect effect on product innovation through positive influence on social capital. This implies that firms can stimulate communication and interaction among people, and therefore innovative activity, by means of explicit and codified knowledge (organizational capital).     

Using templates and linguistic patterns to define process performance indicators

Process performance management (PPM) aims at measuring, monitoring and analysing the performance of business processes (BPs), in order to check the achievement of strategic and operational goals and to support decision-making for their optimisation. PPM is based on process performance indicators (PPIs), so having an appropriate definition of them is crucial. One of the main problems of PPIs definition is to express them in an unambiguous, complete, understandable, traceable and verifiable manner. In practice, PPIs are defined informally – usually in ad hoc, natural language, with its well-known problems – or they are defined from an implementation perspective, hardly understandable to non-technical people. In order to solve this problem, in this article we propose a novel approach to improve the definition of PPIs using templates and linguistic patterns. This approach promotes reuse, reduces both ambiguities and missing information, is understandable to all stakeholders and maintains traceability with the process model. Furthermore, it enables the automated processing of PPI definitions by its straightforward translation into the PPINOT metamodel, allowing the gathering of the required information for their computation as well as the analysis of the relationships between them and with BP elements.     

Extending multi-tenant architectures: a database model for a multi-target support in SaaS applications

Multi-tenant architectures (MTAs) are considered a cornerstone in the success of Software as a Service as a new application distribution formula. Multi-tenancy allows multiple customers (i.e. tenants) to be consolidated into the same operational system. This way, tenants run and share the same application instance as well as costs, which are significantly reduced. Functional needs vary from one tenant to another; either companies from different sectors run different types of applications or, although deploying the same functionality, they do differ in the extent of their complexity. In any case, MTA leaves one major concern regarding the companies’ data, their privacy and security, which requires special attention to the data layer. In this article, we propose an extended data model that enhances traditional MTAs in respect of this concern. This extension – called multi-target – allows MT applications to host, manage and serve multiple functionalities within the same multi-tenant (MT) environment. The practical deployment of this approach will allow SaaS vendors to target multiple markets or address different levels of functional complexity and yet commercialise just one single MT application. The applicability of the approach is demonstrated via a case study of a real multi-tenancy multi-target (MT²) implementation, called Globalgest.     

Persistence and cyclical dependence in the monthly euribor rate

This paper analyses two well-known features of interest rates, namely their time dependence and their cyclical structure. Specifically, it focuses on the Euribor rate, using monthly data from January 1994 to May 2011. Two models are considered, one with fractional integration at the long run or zero frequency, and the other replacing the zero frequency with a cyclical one. The results indicate that the latter outperforms the former as well as other standard specifications. Future directions for research (such as nonlinearities, volatility behaviour, and multivariate models) are also discussed.