IT STANDARD IMPLEMENTATION AND BUSINESS PROCESS OUTCOMES - AN EMPIRICAL ANALYSIS OF XML IN THE PUBLISHING INDUSTRY

Despite huge incentives and investments in information technology (IT) standards, many firms still fail to fully benefit from their implementations. To explain such failures, we examine why some firms benefit more from IT standard implementation than others. Specifically, we look at the implementation of the eXtensible Markup Language (XML) from a technological diffusion perspective, and investigate under what contextual conditions the extent of XML implementation has the greatest effect on business process outcomes. Using empirical data from the publishing industry (N=188), we find that the extent of XML implementation impacts business process outcomes, and both business process radicalness of XML implementation and related XML knowledge play moderating roles. For information systems (IS) practice, this study helps managers direct their attention to the most promising factors and elaborates on their differential effects on business process outcomes. For IS research, it integrates innovation diffusion theory into our current knowledge of IT implementation and provides theoretical explanations for XML implementation successes and failures

DO PROCESS STANDARDIZATION AND AUTOMATION MEDIATE OR MODERATE THE PERFORMANCE EFFECTS OF XML? AN EMPIRICAL ANALYSIS IN THE PUBLISHING SECTOR

We draw on process theory to examine how information technology standards affect firm performance via and in conjunction with process variables. In contrast to past IT performance studies that have been rather silent on the simultaneous investigation of indirect and enabling effects of process variables, this study takes an integrative approach by comparing moderating and mediating effects of process standardization and process automation. The model is empirically tested by investigating the (perceived) performance impact of the IT standard XML using data collected from 201 publishing firms in Germany. While process variables showed strong and significant mediating effects in the relationship between IT and perceived cost effectiveness, we could not detect significant moderating effects of process variables. Furthermore, process standardization consistently outperformed process automation in terms of effect magnitude and strength of impact on perceived cost effectiveness. The implications of these findings and the limitations of the study are discussed in an effort to contribute to a methodological extension of the business value of IT debate at the organizational level of analysis

Leveraging Open-standard Interorganizational Information Systems for Process Adaptability and Alignment: An Empirical Analysis

PurposeThe purpose of this paper is to understand the value creation mechanisms of open-standard inter-organizational information system (OSIOS), which is a key technology to achieve Industry 4.0. Specifically, this study investigates how the internal assimilation and external diffusion of OSIOS help manufactures facilitate process adaptability and alignment in supply chain network.Design/methodology/approachA survey instrument was designed and administrated to collect data for this research. Using three-stage least squares estimation, the authors empirically tested a number of hypothesized relationships based on a sample of 308 manufacturing firms in China.FindingsThe results of the study show that OSIOS can perform as value creation mechanisms to enable process adaptability and alignment. In addition, the impact of OSIOS internal assimilation is inversely U-shaped where the positive effect on process adaptability will become negative after an extremum point is reached.Originality/valueThis study contributes to the existing literature by providing insights on how OSIOS can improve supply chain integration and thus promote the achievement of industry 4.0. By revealing a U-shaped relationship between OSIOS assimilation and process adaptability, this study fills previous research gap by advancing the understanding on the value creation mechanisms of information systems deployment

Standard-Setting and Knowledge Dynamics in Innovation Clusters

Extensive research has been conducted on how firms and regions take advantage of spatially concentrated assets, and also why history matters to regional specialisation patterns. In brief, it seems that innovation clusters as a distinctive regional entity in international business and the geography of innovation are of increasing importance in STI policy, innovation systems and competitiveness studies. Recently, more and more research has contributed to an evolutionary perspective on collaboration in clusters. Nonetheless, the field of cluster or regional innovation systems remains a multidisciplinary field where the state of the art is determined by the individual perspective (key concepts could, for example, be industrial districts, innovative clusters with reference to OECD, regional knowledge production, milieus & sticky knowledge, regional lock-ins & path dependencies, learning regions or sectoral innovation systems). According to our analysis, the research gap lies in both quantitative, comparative surveys and in-depth concepts of knowledge dynamics and cluster evolution. Therefore this paper emphasises the unchallenged in-depth characteristics of knowledge utilisation within a cluster's collaborative innovation activities. More precisely, it deals with knowledge dynamics in terms of matching different agents´ knowledge stocks via knowledge flows, common technology specification (standard-setting), and knowledge spillovers. The means of open innovation and system boundaries for spatially concentrated agents in terms of knowledge opportunities and the capabilities of each agent await clarification. Therefore, our study conceptualises the interplay between firm- and cluster-level activities and externalities for knowledge accumulation but also for the specification of technology. It remains particularly unclear how, why and by whom knowledge is aligned and ascribed to a specific sectoral innovation system. Empirically, this study contributes with several descriptive calculations of indices, e.g. knowledge stocks, GINI coefficients, Herfindahl indices, and Revealed Patent Advantage (RPA), which clearly underline a high spatial concentration of both mechanical engineering and biotechnology within a European NUTS2 sample for the last two decades. Conceptually, our paper matches the geography of innovation literature, innovation system theory, and new ideas related to the economics of standards. Therefore, it sheds light on the interplay between knowledge flows and externalities of cluster-specific populations and the agents' use of such knowledge, which is concentrated in space. We find that knowledge creation and standard-setting are cross-fertilising each other: although the spatial concentration of assets and high-skilled labour provides new opportunities to the firm, each firm's knowledge stocks need to be contextualised. The context in terms of 'use case' and 'knowledge biography' makes technologies (as represented in knowledge stocks) available for collaboration, but also clarifies relevance and ownership, in particular intellectual property concerns. Owing to this approach we propose a conceptualisation which contains both areas with inter- and intra-cluster focus. This proposal additionally concludes that spatial and technological proximity benefits standard-setting in high-tech and low-tech industries in very different ways. More precisely, the versatile tension between knowledge stocks, their evolution, and technical specification & implementation requires the conceptualisation and analysis of a non-linear process of standard-setting. Particularly, the use case of technologies is essential. Related to this approach, clusters strongly support the establishment of technology use cases in embryonic high-tech industries. Low-tech industries in contrast rather depend on approved knowledge stocks, whose dynamics provide better and fast accessible knowledge inputs within low-tech clusters.innovation clusters, standard-setting, knowledge externalities and flows, knowledge alignment, mechanical engineering, biotechnology

Scientific Models: A User-oriented Approach to the Integration of Scientific Data and Digital Libraries

Many scientific communities are struggling with the challenge of how to manage the terabytes of data they are producing, often on a daily basis. Scientific models are the primary method for representing and encapsulating expert knowledge in many disciplines. Scientific models could also provide a mechanism: for publishing and sharing scientific results; for teaching complex scientific concepts; and for the selective archival, curation and preservation of scientific data. As such, they also provide a bridge for collaboration between Digital Libraries and eScience. In this paper I describe research being undertaken within the FUSION project at the University of Queensland to enable scientists to construct, publish and manage scientific model packages that encapsulate and relate the raw data to its associated contextual and provenance metadata, processing steps, derived information and publications. This work involves extending tools and services that have come out of the Digital Libraries domain to support e-Science requirements

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Xml Interfaces: a Growing Need for Standardization

The incentive for this research came from the need to solve a fundamental problem many companies face when transferring data across multi-platform applications: how to deploy XML interfaces that integrate easily with other systems. The goal of this project was to identify a solution for Company ABC when integrating XML interfaces with customers, partners, and vendors. The project researches the need and development of data standards that can solve one of the key problems with XML - interoperability. Through the use of a common language, companies can utilize data formats and schemas developed by data standards organizations operating in their vertical industry. Implementing a standard XML interface will help Company ABC reduce the expense of customizing all of their XML interfaces

IMAS: An Integrated Manufacturing Application Server for BPR

AbstractInformation management systems should be reconfigured rapidly to respond to the change of requirements in Business Process Re-engineering domain. Inspired by the trend mentioned above, we proposed the notion of IMAS (An Integrated Manufacturing Application Server for BPR) and researched the connotation of it. Firstly, as the instruction system definition of IMAS, a special BPR language DTBP (Data Translate of Business Process) was described in detail. Secondly, we gave the hierarchical architecture of IMAS which consists of communication layer, platform layer and application layer, and all of the three layers were illustrated in detail. In the end, we make conclusion of this paper and point the future works