Understanding the influence of information systems competencies on process innovation: A resource-based view

The resource based view of firms is used to explore how information system (IS) competencies affect process innovation in an organization. Data was collected through a case study of two process innovations at a healthcare firm in the United States. The findings illustrate how six IS competencies – Knowledge Management, Collaboration, Project Management, Ambidexterity, IT/Innovation Governance, Business-IS Linkages – can differentially affect the conception, development and implementation of process innovations. Implications for researchers and practitioners are drawn from these conclusions and suggestions for further research are proposed.     

ICT-integrated education and national innovation systems in the Gulf Cooperation Council (GCC) countries

The widespread use and availability of information and communication technologies (ICT) has greatly impacted how nations conceptualize innovation and the ways formal mass education can be used to advance socio-political and economic agendas. The Gulf Cooperation Council (GCC) countries have increasingly focused on the roles of science and technology in building research development and innovation (RDI) capacity to create national innovation systems (NIS). This paper uses evidence from the 2007 Trends in International Mathematics and Science Study (TIMSS) and the 2009 World Bank Institute Knowledge Economy Index (KEI) to investigate the spread of ICT in national education systems in the GCC countries and the impact of ICT-based learning as a catalyst for NIS and RDI capacity in the region. Previous research suggests that ICT-based instruction has the potential to build capacity in knowledge development, which is a key component in the establishment of national innovation systems. However, the analyses presented here suggest that the ways ICT is used in education in the GCC do not build capacity in knowledge development in youth. Although evidence shows that GCC countries do have institutional capacity in ICT, it is not used for knowledge development in part because of limitations imposed by the cultural contexts for education in the Gulf. The paper concludes with recommendations for ways that GCC teachers can use ICT to create national innovation systems and research capacity through reforms to teacher training and professional development.     

Facilitating the implementation of customer-based inter-organizational systems: an empirical analysis of innovation and support factors

Abstract. Inter-organizational systems, which represent the majority of competitive information systems, have received increasing attention from researchers. This study focuses on the implementation of customer-based inter-organizational systems (CIOS). A model is constructed and tested, based on literature in IS implementation and organizational innovation. Data from 73 organizations who have implemented such systems are gathered through a questionnaire. Two classes of independent variables, innovation factors and support factors, are examined for their influence on CIOS implementation success. While no innovation factors emerge as important, support factors, such as customer training and top management support, are found to significantly facilitate successful implementation of such systems. Implications for research and practice are discussed.     

Beyond the customer: Opening the agile systems development process

Context

A particular strength of agile systems development approaches is that they encourage a move away from ‘introverted’ development, involving the customer in all areas of development, leading to more innovative and hence more valuable information system. However, a move toward open innovation requires a focus that goes beyond a single customer representative, involving a broader range of stakeholders, both inside and outside the organisation in a continuous, systematic way.

Objective

This paper provides an in-depth discussion of the applicability and implications of open innovation in an agile environment.

Method

We draw on two illustrative cases from industry.

Results

We highlight some distinct problems that arose when two project teams tried to combine agile and open innovation principles. For example, openness is often compromised by a perceived competitive element and lack of transparency between business units. In addition, minimal documentation often reduce effective knowledge transfer while the use of short iterations, stand-up meetings and presence of on-site customer reduce the amount of time for sharing ideas outside the team.

Conclusion

A clear understanding of the inter- and intra-organisational applicability and implications of open innovation in agile systems development is required to address key challenges for research and practice.     

Performance implications of information-value offering in e-service systems: Examining the resource-based perspective and innovation strategy

This research examines the performance implications of information-value offering in e-service systems. Specifically, this study introduces both a resource-based perspective that combines technology, human, and business resources to develop an e-service capability, and an innovation strategy that emphasizes service innovation orientation to examine information-value offering. This study also examines how firms bundle e-service capability and service innovation orientation to enhance information-value offering that enhances customer relationships and organizational performance. The results from a survey of 115 financial service firms in Taiwan highlight the importance of how e-service capability and service innovation orientation leads to information-value offering and that this value is shown to positively influence organizational performance by customer relationship performance. The results suggest that researchers and practitioners should pay special attention to the complementary resource-strategy that are needed to successfully implement e-service systems initiatives and that an emphasis on the resource or strategy alone may not be sufficient.     

A comprehensive framework to research digital innovation: The joint use of the systems of innovation and critical realism

This study addresses calls to expand the boundaries of digital innovation research at multiple levels of society to comprehensively study the structure and evolution of innovation processes and outcomes. We contribute by proposing a framework composed of systems of innovation (SIs)¹ as an alternative and holistic conceptual base and unit of analysis, which accounts for the interconnected components located beyond the organizational microenvironments that ultimately affect innovation in organizations. Given the compatibility of SIs and the ontology of critical realism (CR)² as well as some flaws in SI research practice, we also use critical realist research approaches to guide the study of the state and transformation of SIs. We further explain the joint use of SIs and CR by applying them to the area of information systems innovation diffusion.     

Expert systems in manufacturing. Part 2: A management framework for expert-systems innovation and technology transfer

Current approaches to expert systems technology transfer have tended to focus upon the marketing and servicing of technology capabilities and potential whilst remaining uncertain about the process factors which determine how this technology may be applied and adopted effectively. Furthermore, much of current expert systems research work and literature addresses these issues from the viewpoint of the supplier or donor whilst overlooking the importance of human and organisational perspectives which shed light on the means of delivery and take-up within the recipient organisation. The paper, the second of two that look at expert systems innovation in manufacturing, argues for greater consideration of the characteristics, processes and mechanisms of technology transfer. It defines a new conceptual basis for technology transfer which stresses a ‘needs-driven’ process of change; this highlights the importance of context as well as content in expert systems transfer and implementation. From this, a management framework is outlined and is used to rationalise the transfer problems and needs described in the first paper following a survey of 145 manufacturing users. It is also shown how this framework may be used to understand more about the multi-level and multi-dimensional needs and effects of technology induced change and therefore how it may be used to help senior management strategically plan and co-ordinate expert systems programmes in their organisations.     

Dialectical hermeneutics: a theoretical framework for the implementation of information systems

Abstract. Despite the proliferation of information technology, the implementation of information systems remains problematic. Many systems fail to live up to expectations and some end up as disasters. Research on implementation has been conducted for the past two decades, but no theoretical framework for IS implementation has been widely accepted. This paper proposes dialectical hermeneutics as a theoretical framework for IS implementation research. Dialectical hermeneutics, as an integrative theoretical framework, combines both interpretive and critical elements, and addresses those social and organizational issues which are critical to the successful implementation of information systems. The case study research method was used to examine the implementation of systems in three organizations.     

On the realization problem for stationary,homogeneous, discrete-time systems

For degree 2, stationary, homogeneous systems, we consider realizations in the form of state-affine difference equations, and in the form of feedback-free interconnections of stationary linear systems, adders, and multipliers. Realizability conditions are presented in terms of the symmetric transfer function (or kernel), and in terms of a new representation called the regular transfer function (or kernel). A procedure is given for constructing a minimal dimension state-affine realization, and the corresponding interconnection.     

A decision-support system for the design and management of warehousing systems

The issue of material handling involves the design and operative control of warehousing systems (i.e., distribution centres), which allow matching vendors and demands, smoothing with seasonality, consolidating products and arranging distribution activities. Warehousing systems play a crucial role in providing efficiency and customer satisfaction. The warehouse design entails a wide set of decisions, which involve layout constraints and operative issues that seriously affect the performances and the overall logistics costs.     

A survey of tools for the validation and verification of knowledge-based systems: 1985–1995

This paper presents the findings of a survey of software tools built to assist in the verification and validation of knowledge-based systems. The tools were identified from literature sources from the period 1985–1995. The tool builders were contacted and asked to complete and return a survey that identified which testing and analysis techniques were utilised and covered by their tool. From these survey results it is possible to identify trends in tool development, technique coverage and areas for future research.     

Comparing a knowledge-based and a data-driven method in querying data streams for system fault detection: A hydraulic drive system application

The field of fault detection and diagnosis has been the subject of considerable interest in industry. Fault detection may increase the availability of products, thereby improving their quality. Fault detection and diagnosis methods can be classified in three categories: data-driven, analytically based, and knowledge-based methods.     

Utopia: A load sharing facility for large,heterogeneous distributed computer systems

Load sharing in large, heterogeneous distributed systems allows users to access vast amounts of computing resources scattered around the system and may provide substantial performance improvements to applications. We discuss the design and implementation issues in Utopia, a load sharing facility specifically built for large and heterogeneous systems. The system has no restriction on the types of tasks that can be remotely executed, involves few application changes and no operating system change, supports a high degree of transparency for remote task execution, and incurs low overhead. The algorithms for managing resource load information and task placement take advantage of the clustering nature of large-scale distributed systems; centralized algorithms are used within host clusters, and directed graph algorithms are used among the clusters to make Utopia scalable to thousands of hosts. Task placements in Utopia exploit the heterogeneous hosts and consider varying resource demands of the tasks. A range of mechanisms for remote execution is available in Utopia that provides varying degrees of transparency and efficiency. A number of applications have been developed for Utopia, ranging from a load sharing command interpreter, to parallel and distributed applications, to a distributed batch facility. For example, an enhanced Unix command interpreter allows arbitrary commands and user jobs to be executed remotely, and a parallel make facility achieves speed-ups of 15 or more by processing a collection of tasks in parallel on a number of hosts.     

A management framework for systems users

Many business managers today are in need of practical guidance in determining which information systems management practices are appropriate for their particular organization. Of central importance is the management of the information systems development process. A field research study was conducted at five major U.S. corporations to determine those information systems development management practices that had proved successful. The research method consisted of in-depth interviews with managers and technical people at each company. In addition, the reputation of each company as a successful manager of the information systems function was validated using a set of organizational performance criteria developed by a panel of prominent information systems professionals. The results of the research are presented in the form of a planning and control framework of successful management practices. The framework describes and classifies those practices common to all companies and clearly differentiates those practices which varied significantly among the companies studied. The framework is designed to enable management to readily identify those information system development practices that have proved successful and to select from among them those most appropriate to the local situation. It can also serve as a guide for self-study on the part of the individual manager.     

A cumulant based algorithm for the identification of input-output quadratic systems

The identification of a special class of polynomial models is pursued in this paper. In particular a parameter estimation algorithm is developed for the identification of an input-output quadratic model excited by a zero mean white Gaussian input and with the output corrupted by additive measurement noise. Input-output crosscumulants up to the fifth order are employed and the identification problem of the unknown model parameters is reduced to the solution of successive triangular linear systems of equations that are solved at each step of the algorithm. Simulation studies are carried out and the proposed methodology is compared with two least squares type identification algorithms, the output error method and a combination of the instrumental variables and the output error approach. The proposed cumulant based algorithm and the output error method are tested with real data produced by a robotic manipulator.     

Examining the benefits and challenges of using audience response systems: A review of the literature

Audience response systems (ARSs) permit students to answer electronically displayed multiple choice questions using a remote control device. All responses are instantly presented, in chart form, then reviewed and discussed by the instructor and the class. A brief history of ARSs is offered including a discussion of the 26 labels used to identify this technology. Next a detailed review of 67 peer-reviewed papers from 2000 to 2007 is offered presenting the benefits and challenges associated with the use of an ARS. Key benefits for using ARSs include improvements to the classroom environment (increases in attendance, attention levels, participation and engagement), learning (interaction, discussion, contingent teaching, quality of learning, learning performance), and assessment (feedback, formative, normative). The biggest challenges for teachers in using ARSs are time needed to learn and set up the ARS technology, creating effective ARS questions, adequate coverage of course material, and ability to respond to instantaneous student feedback. Student challenges include adjusting to a new method of learning, increased confusion when multiple perspectives are discussed, and negative reactions to being monitored. It is concluded that more systematic, detailed research is needed in a broader range of contexts.     

A self-organized model for the control,planning and learning of nonlinear multi-dimensional systems using a sensory feedback

A new approach is presented to deal with the problem of modelling and simulating the control mechanisms underlying planned-arm-movements. We adopt a synergetic view in which we assume that the movement patterns are not explicitly programmed but rather are emergent properties of a dynamic system constrained by physical laws in space and time. The model automatically translates a high-level command specification into a complete movement trajectory. This is an inverse problem, since the dynamic variables controlling the current state of the system have to be calculated from movement outcomes such as the position of the arm endpoint. The proposed method is based on an optimization strategy: the dynamic system evolves towards a stable equilibrium position according to the minimization of a potential function. This system, which could well be described as a feedback control loop, obeys a set of non-linear differential equations. The gradient descent provides a solution to the problem which proves to be both numerically stable and computationally efficient. Moreover, the addition into the control loop of elements whose structure and parameters have a pertinent biological meaning allows for the synthesis of gestural signals whose global patterns keep the main invariants of human gestures. The model can be exploited to handle more complex gestures involving planning strategies of movement. Finally, the extension of the approach to the learning and control of non-linear biological systems is discussed.