Measuring the Agility of the IT Application Systems Landscape

A company’s ability to change increasingly depends on the ability to change its IT, something referred to as “IT-agility” here. High IT-agility can contribute to increased business agility and thus create a competitive advantage. In this paper we focus on the IT application systems landscape, a resource of significant importance for the IT-agility and competitiveness of a company. To manage IT-agility it must be measurable. In our research, a goal hierarchy and a derived performance measurement (key figure) system was developed to measure and actively manage the agility of IT application systems landscapes. This measurement model is scalable from the measurement of individual domains to the entire IT application landscape. It has demonstrated its practicality in the context of several case studies

Sustaining entrepreneurial business: a complexity perspective on processes that produce emergent practice

This article examines the management practices in an entrepreneurial small firm which sustain the business. Using a longitudinal qualitative case study, four general processes are identified (experimentation, reflexivity, organising and sensing), that together provide a mechanism to sustain the enterprise. The analysis draws on concepts from entrepreneurship and complexity science. We suggest that an entrepreneur’s awareness of the role of these parallel processes will facilitate their approaches to sustaining and developing enterprises. We also suggest that these processes operate in parallel at multiple levels, including the self, the business and inter-firm networks. This finding contributes to a general theory of entrepreneurship. A number of areas for further research are discussed arising from this result

DRIVERS AND EFFECTS OF INFORMATION SYSTEMS ARCHITECTURE COMPLEXITY: A MIXED-METHODS STUDY

Today’s organizations deal with a significant complexity of their information systems (IS) architec-ture—a complex cobweb of heterogeneous IS with tight, mutual interrelations. With the constantly in-creasing number of IS along with the inherent complexity of the organizational context in which IS are embedded, organizations lose control of their IS architecture’s evolution. Through employing a se-quential mixed-methods research design, this study investigates the drivers and effects of IS architec-ture complexity. Based on the extant literature and on focus groups data, at the outset we develop a research model and derive its constitutive hypotheses. We subsequently test the research model follow-ing a partial least squares (PLS) approach to structural equation modelling (SEM) with survey re-sponses from 249 IT managers and architects. While differentiating structural and dynamic complexi-ty, this study confirms a high degree of integration, large size, high diversity, strong dynamics, and, in particular, inadequate planning as the main drivers of IS architecture complexity. Further, this study affirms the negative effect of IS architecture complexity on the efficiency, agility, comprehensibility, and predictability of the IS

A taxonomy of supply chain innovations

In this paper, a taxonomy of supply chain and logistics innovations was developed and presented. The taxonomy was based on an extensive literature survey of both theoretical research and case studies. The primary goals are to provide guidelines for choosing the most appropriate innovations for a company, and help companies in positioning themselves in the supply of chain innovations landscape. To this end, the three dimensions of supply chain innovations, namely the goals, supply chain attributes, and innovation attributes were identified and classified. The taxonomy allows for the efficient representation of critical supply chain innovations information, and serves the mentioned goals, which are fundamental to companies in a multitude of industries

The role of Intangible Assets in the Relationship between HRM and Innovation: A Theoretical and Empirical Exploration

This paper, as far as known, provides a first attempt to explore the role of intellectual capital (IC) and knowledge management (KM) in an integrative way between the relationship of human resource (HR) practices and two types of innovation (radical and incremental). More specifically, the study investigates two sub-components of IC – human capital and organizational social capital. At the same time, four KM channels are discussed, such as knowledge creation, acquisition, transfer and responsiveness.\ud The research is a part of a bigger project financed by the Ministry of Economic Affairs and the province of Overijssel in the Netherlands. The project studies the ‘competencies for innovation’ and is conducted in collaboration with innovative companies in the Eastern part of the Netherlands. \ud An exploratory survey design with qualitative and quantitative data is used for\ud investigating the topic in six companies from industrial and service sector in the region of Twente, the Netherlands. Mostly, the respondents were HR directors. The findings showed that some parts of IC and KM configurations were related to different types of innovation. To make the picture even more complicated, HR practices were sometimes perceived interchangeably with IC and KM by HR directors. Overall, the whole picture about the relationships stays unclear and opens a floor for further research

Learnings from a Cloud Migration Project at a South African Retailer

All industries are aware of the potential benefits of cloud computing, however, the migration to cloud has not been widely adopted by South African retailers. The purpose of this paper is to explore the motivations behind organisations deciding to migrate to cloud and the factors that may impact a successful cloud migration project. The paper discusses a case study that analysed the key drivers and the impact of cloud migration within a retail environment. The empirical findings suggest that skills and competencies largely impact every aspect of cloud migration, from decision making to execution and support. Furthermore, that migrating to cloud will differ based on organisational need and the type of cloud service being adopted. In addition, the findings outlines that best practise may advance as more organisations migrate to cloud environments

Measuring the Business Value of Cloud Computing

The importance of demonstrating the value achieved from IT investments is long established in the Computer Science (CS) and Information Systems (IS) literature. However, emerging technologies such as the ever-changing complex area of cloud computing present new challenges and opportunities for demonstrating how IT investments lead to business value. Recent reviews of extant literature highlights the need for multi-disciplinary research. This research should explore and further develops the conceptualization of value in cloud computing research. In addition, there is a need for research which investigates how IT value manifests itself across the chain of service provision and in inter-organizational scenarios. This open access book will review the state of the art from an IS, Computer Science and Accounting perspective, will introduce and discuss the main techniques for measuring business value for cloud computing in a variety of scenarios, and illustrate these with mini-case studies