Elena Revilla

Learning capability and business performance: a non‐financial and financial assessment

Purpose – There has been little research that includes reliable deductions about the positive influence of learning capability on business performance. For this reason, the main objective of the present study is to empirically explore the link between learning capability in organizations and business performance evaluated in both financial and non‐financial terms.Design/methodology/approach – Using data from 111 Spanish companies, research was conducted through a structural equation modelling. In doing so, a measurement model was conducted for the main constructs – learning capability, financial performance and non‐financial performance‐ and examine the paths between them.Findings – The analysis shows the positive link existing between: learning capability and non‐financial performance; and non‐financial performance and financial performance.Originality/value – This is a detailed empirical examination of learning capability as a source of performance in organizations. It should be of value to all those wh...

Assessing the Impact of Learning Capability on Business Performance: Empirical Evidence from Spain

It is widely recognized that the development of learning capability is key to achieve a durable competitive advantage. However, the analysis of the relevance of learning capability to improve business performance and, thus, the organizational competence has been insufficiently developed in literature. Based on data from 111 Spanish companies, this article explores the link between learning capability and the improvement of business performance by comparing how the main dimensions of learning capability—stocks of knowledge and flows of learning—impact on performance, in terms of both non-financial and financial performance. The results show that those organizations with the highest levels in their knowledge stocks and learning flows obtain a superior performance.

The Decision of the Supply Chain Executive to Support or Impede Supply Chain Integration: A Multidisciplinary Behavioral Agency Perspective

Applying the behavioral agency model developed by Wiseman and Gomez-Mejia (1998), this paper analyzes human resource factors that induce supply chain executives (SCEs) to make decisions that foster or hinder supply chain integration. We examine two internal sources - compensation and employment risk - and one external source - environmental volatility - of risk bearing that can make SCEs more reluctant to make the decision of promoting supply chain integration. We argue and empirically confirm the notion that an employment and compensation system that increases SCE risk bearing reduces the SCE´s willingness to make risky decisions and thus discourages supply chain integration. We also reveal that this negative relationship becomes stronger under conditions of high environmental volatility. In addressing the “so what?” question, we find empirical support for the hypothesis that supply chain integration positively influences operational performance. Even though this decision has positive value for the firm, we found that SCEs discourage supply chain integration when they face higher risk bearing. Hypotheses are tested using a combination of primary survey data and archival measures in a sample of 133 Spanish firms.

Evaluating performance of public-private research collaborations: A DEA analysis

The issue of intellectual capital and its measurement is investigated in this paper. We provide an overview of how a data envelopment analysis (DEA) approach was used to investigate some characteristics of performance for joint intersectoral research and development collaboration projects, with a specific emphasis of use of intellectual property (ie, patents) as one of the outcomes of these collaborations. Some knowledge-based factors are investigated in this paper to determine if there is a relationship between these factors and research partnership performance. Of particular focus in this paper, and focusing on the special issue topic, is whether knowledge management and knowledge goals play a role in whether these collaborations perform better or worse. The study is based on empirical data from a programme of technological policy existing in Spain, known as the Concerted Projects.

Managing the knowledge paradox in product development

Purpose – The purpose of this paper is to obtain from paradox a novel lens to elucidate the connections between knowledge management (KM) and product development as a knowledge intensive process. By focusing on the “social side” of KM, it is proposed that different KM orientations can emerge as a result of higher or lower emphasis on both cultural and structural enablers. These KM orientations generate specific potential to manage the tension and paradox of managing both knowledge exploration and knowledge exploitation knowledge during product development.Design/methodology/approach – Empirical evidence is provided by performing survey research with data collected from 80 product development projects developed in Spain.Findings – Results show that product development efforts can show three different KM orientations that significantly differ in their results in terms of knowledge exploration and, specially, knowledge exploitation. Moreover, product development requires a symbiosis between both cultural and...

Building knowledge integration in buyer-supplier relationships

Purpose – There are two major objectives in the research. First, the authors investigate the impact of knowledge integration in terms of joint decision-making and joint sense-making, on relational performance, including operational efficiency and innovation. Second, the authors examine the key antecedents that might facilitate knowledge integration: strategic supply management and trust. The paper aims to discuss these issues. Design/methodology/approach – This paper expands and tests theory drawing upon survey data from 133 buyer-supplier relationships (BSRs). The authors employed a two-step process of analysis to evaluate first the measurement model and then the structural model. The measurement model test built upon confirmatory factor analysis, while the structural model quality test built upon path analysis. Findings – The results suggest that both integrative mechanisms, joint decision making and joint sense making, affect performance although in different ways. This study also finds that while trus...

Information Technology as Knowledge Management Enabler in Product Development - An Empirical Evidence

Product development is a knowledge intensive process. It is widely recognized as a mechanism that produces firms to learn, to enter new technological areas, and to deal more effectively with market uncertainty. Since technology management has become ingrained within the field of knowledge management, product development has been viewed and studied from a knowledge management perspective. In this context, this study focuses on a specific knowledge management initiative, information technology (IT). It empirically explores how IT influences on knowledge based capabilities of product development -specifically knowledge exploitation and exploration.

Information technology as knowledge management enabler in product development

Purpose – The purpose of this paper is to focus on one of the most recognized knowledge management enablers, information technology (IT), and explores how IT influences on knowledge base capabilities in product development – specifically knowledge exploitation and exploration.Design/methodology/approach – The proposed hypotheses are empirically tested through the analysis of 80 product developments, and valid and reliable measures for each variable are developed. The research methodology uses a two‐step approach.Findings – The study shows that product development processes can be categorized within three IT configurations: balanced IT configuration, convergent‐based IT configuration and divergent‐based IT configuration. These results show that differences in IT configurations in product development may lead to differences in terms of knowledge exploitation and show the advantages of the balanced IT configuration that combines both dimensions of IT.Research limitations/implications – The sample size is not...

Towards an empirical typology of buyer–supplier relationships based on absorptive capacity

This paper develops a taxonomy of buyer–supplier relationships (BSRs), based on the supplier’s absorptive capacity (AC). AC encompasses three learning processes: exploration, assimilation, and exploitation. The aim is to develop a taxonomy that can predict a firm’s performance with regard to innovation and operational efficiency. This research complements the literature, which presently focuses on descriptive rather than predictive taxonomies. Data from 153 firms were collected through survey research. Confirmatory factor analysis was used to assess the quality of data and calculate composite scores to be used in the cluster analysis to develop the BSRs patterns. Analysis of variance was used to explore the relationships between BSR type and firm performance. Finally, semi-structured interviews aided interpretation of the proposed taxonomy. Findings support the identification of groups of dyads through different combinations of the learning processes underlying AC. The different combinations are typified through AC strength and AC reinforcement. The results provide evidence of a significant relationship between AC strength and firm performance. Surprisingly, we did not find empirical support for the relationship between AC reinforcement and performance.

The impact of risk management on the frequency of supply chain disruptions: A configurational approach

The purpose of this paper is to develop a taxonomy of how companies implement Supply Chain Risk Management (SCRM) in terms of two fundamental approaches: the first emerging from internal actions and operations within companies, and the other involving inter-organizational actions undertaken with external supply chain partners. This taxonomy aims to predict firms’ performance with regard to the frequency of supply chain disruption.,A cluster analysis of survey data from 908 firms representing 69 countries together with an analysis of variance.,The authors’ analysis demonstrates a clear structure of four different patterns of how companies manage supply chain risks: passive, internal, collaborative, and integral. The authors found that firms pursuing an inter-organizational orientation (collaborative and integral) face the lowest levels of supply chain disruption. On the contrary, strategies which simply concentrate on having greater control of internal operations are not vigorous enough to stop the cascade effect of a disruption at the supply chain level. Furthermore, the excellent performance of integral SCRM strategies also suggests that collaboration between buyers and suppliers ensures the efficacy of internal business continuity plans and security procedures.,Managers should play an active role in making sure that supply chain management and risk management disciplines evolve together. Obviously, when an exogenous event results in a supply chain disruption, a firm will try to put its operations under control through internal capabilities. But SCRM strategies designed proactively in advance with relevant partners are even more beneficial.,First, previous studies have limited the analysis of SCRM mainly to its reactive internal initiatives within a firm. This paper takes the SCRM literature beyond the internal focus by considering both internal and inter-organizational efforts and, more importantly, developing a single configurational model to analyze modes of interaction. Second, there is little empirical evidence showing the current situation of SCRM. Research in SCRM has been more qualitative than empirical, especially in global coverage. The research tackles this gap and, based on a broader scope of the samples the empirical findings show a higher level of generalizability.