Intellectual Capital Architectures and Bilateral Learning: A Framework For Human Resource Management

Both researchers and managers are increasingly interested in how firms can pursue bilateral learning; that is, simultaneously exploring new knowledge domains while exploiting current ones (cf., March, 1991). To address this issue, this paper introduces a framework of intellectual capital architectures that combine unique configurations of human, social, and organizational capital. These architectures support bilateral learning by helping to create supplementary alignment between human and social capital as well as complementary alignment between people-embodied knowledge (human and social capital) and organization-embodied knowledge (organizational capital). In order to establish the context for bilateral learning, the framework also identifies unique sets of HR practices that may influence the combinations of human, social, and organizational capital

Misaligned Values in Software Engineering Organizations

The values of software organizations are crucial for achieving high performance; in particular, agile development approaches emphasize their importance. Researchers have thus far often assumed that a specific set of values, compatible with the development methodologies, must be adopted homogeneously throughout the company. It is not clear, however, to what extent such assumptions are accurate. Preliminary findings have highlighted the misalignment of values between groups as a source of problems when engineers discuss their challenges. Therefore, in this study, we examine how discrepancies in values between groups affect software companies' performance. To meet our objectives, we chose a mixed method research design. First, we collected qualitative data by interviewing fourteen (\textit{N} = 14) employees working in four different organizations and processed it using thematic analysis. We then surveyed seven organizations (\textit{N} = 184). Our analysis indicated that value misalignment between groups is related to organizational performance. The aligned companies were more effective, more satisfied, had higher trust, and fewer conflicts. Our efforts provide encouraging findings in a critical software engineering research area. They can help to explain why some companies are more efficient than others and, thus, point the way to interventions to address organizational challenges.Comment: accepted for publication in Journal of Software: Evolution and Proces

IT-Business strategic alignment in influencing sustainable competitive advantage in Jordan: Structural Equation Modelling (SEM) approach

In many review articles or studies, the researchers have encouraged further exploration on the causal links between Information Technology (IT) investments and a firm’s sustainable competitive advantage.The outcomes of empirical studies have been inconclusive, which is to a certain extent due to the omission of IT-business strategic alignment.Indeed, strategic alignment has emerged as one of the most important issues facing business and IT executives all over the world. This paper reports on the empirical investigation of the success factors, which consist of leadership, structure and process, service quality, and values and beliefs, which are representative of the culture gap between IT strategy and business strategy.A questionnaire survey among 200 IT managers was carried out and 172 data sets were collected.This represented a 86% response rate. After a rigorous data screening process including outliers, normality, reliability and validity, 172 data sets were ready for structural equation modelling (SEM) analysis. Confirmatory Factor Analysis (CFA) was performed to examine the composite reliability, convergent validity and goodness of fit of the individual constructs and measurement models. The revised structural model demonstrates the relationships between all the four exogenous variables and IT-business strategic alignment, and all the four exogenous variables and sustainable competitive advantage. In addition, regarding the revised model there are two mediating effects of strategic alignment in the relationship between leadership, structure and process, service quality, values and beliefs, and sustainable competitive advantage

Understanding Complexity

{Excerpt} In development agencies, paradigms of linear causality condition much thinking and practice. They encourage command-and-control hierarchies, centralize decision making, and dampen creativity and innovation. Globalization demands that organizations see our turbulent world as a collection of evolving ecosystems. To survive and flourish they must then be adaptable and fleet footed. Notions of complexity offer a wealth of insights and guidance to 21st century organizations that strive to do so

Developing an inter-enterprise alignment maturity model: research challenges and solutions

Business-IT alignment is pervasive today, as organizations strive to achieve competitive advantage. Like in other areas, e.g., software development, maintenance and IT services, there are maturity models to assess such alignment. Those models, however, do not specifically address the aspects needed for achieving alignment between business and IT in inter-enterprise settings. In this paper, we present the challenges we face in the development of an inter-enterprise alignment maturity model, as well as the current solutions to counter these problems

Negotiation in strategy making teams : group support systems and the process of cognitive change

This paper reports on the use of a Group Support System (GSS) to explore at a micro level some of the processes manifested when a group is negotiating strategy-processes of social and psychological negotiation. It is based on data from a series of interventions with senior management teams of three operating companies comprising a multi-national organization, and with a joint meeting subsequently involving all of the previous participants. The meetings were concerned with negotiating a new strategy for the global organization. The research involved the analysis of detailed time series data logs that exist as a result of using a GSS that is a reflection of cognitive theory