Electronic information sharing in local government authorities: Factors influencing the decision-making process

This is the post-print version of the final paper published in International Journal of Information Management. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2013 Elsevier B.V.Local Government Authorities (LGAs) are mainly characterised as information-intensive organisations. To satisfy their information requirements, effective information sharing within and among LGAs is necessary. Nevertheless, the dilemma of Inter-Organisational Information Sharing (IOIS) has been regarded as an inevitable issue for the public sector. Despite a decade of active research and practice, the field lacks a comprehensive framework to examine the factors influencing Electronic Information Sharing (EIS) among LGAs. The research presented in this paper contributes towards resolving this problem by developing a conceptual framework of factors influencing EIS in Government-to-Government (G2G) collaboration. By presenting this model, we attempt to clarify that EIS in LGAs is affected by a combination of environmental, organisational, business process, and technological factors and that it should not be scrutinised merely from a technical perspective. To validate the conceptual rationale, multiple case study based research strategy was selected. From an analysis of the empirical data from two case organisations, this paper exemplifies the importance (i.e. prioritisation) of these factors in influencing EIS by utilising the Analytical Hierarchy Process (AHP) technique. The intent herein is to offer LGA decision-makers with a systematic decision-making process in realising the importance (i.e. from most important to least important) of EIS influential factors. This systematic process will also assist LGA decision-makers in better interpreting EIS and its underlying problems. The research reported herein should be of interest to both academics and practitioners who are involved in IOIS, in general, and collaborative e-Government, in particular

Social informatics perspective as an integrative design method for information systems technology and business intelligence and analytics: a critical realist study

Thesis (Ph.D.)--University of the Witwatersrand, Faculty of Commerce, Law and Management, Wits Business School, 2016.This study contends that Information Systems and Technologies (ISTs) fail to adequately provide for effective delivery of Business Intelligence and Analytics (BIA), which limits the value that organisations can derive from their data assets. In spite of the influence that each has on the other and their widely acknowledged and undisputed relationship and interdependencies, design and development approaches still promote a silo approach to IST and BIA in theory and practice. The evolution of the role of data in the digital economy not only compels academics and practitioners to collaborate on how to enable creation of good quality data at source but intensifies the requirement for an integrated approach to IST and BIA design. The research problem that the study addresses is that design methods commonly employed in both Information Systems (IS) research studies and practice do not advocate for an integrated approach to design and development of IST and BIA. While IS research accounts for both IST and BIA, IST and BIA design and development studies are approached independently and/or in isolation, with limited integration. The effectiveness of Social informatics (SI) as an interdisciplinary study of design, uses and consequences of use, puts it above the rest of the commonly applied socio-technical design theories and approaches. SI’s strength is in studying designs, uses and consequences of IST use after implementation. However, the theory versus practice inconsistencies presented by the interpretivist paradigm, which is an underpinning philosophy for classical SI, limit its use as a design method. Critical Realism (CR) offers the research study a viable alternative and is crucial in addressing both contextual requirements, while embracing the positivist, deterministic aspects of the study. CR is a pluralist approach based on sound research method principles; hence the study adopted it as both the theoretical paradigm and research method. The research study objective is to reconceptualise the SI perspective as an integrative design method underpinned by CR. The study adopts CR as its research methodology. CR is a philosophy of science that allows for the pluralistic approach to operationalisation of the research strategy, a catalyst in addressing the paradigmatic challenges of the research study. The ability to address the qualitative realist requirements of the study while effectively dealing with the positivist characteristics of the research was crucial in ensuring comprehensive results. The insights which could only be effectively gained through a qualitative realist process of enquiry were invaluable in advancing the IST and BIA design knowledge and practice. CR’s strength in focusing the research practice on the complexities of the real world is a critical enabler for an open system discipline such as IS. It ensures that the research is placed within the realist context of time, space and culture. CR is effective in allowing the researcher to explain the mechanisms that influence the social actor action at different levels of social organisations. It allows for the identification of non-deterministic tendencies in a complex, multidisciplinary and open system such as IS. It not only accounts for the varying social actor requirements at empirical level but reveals possible underlying causes and relationships of the observable or non-observable events and/or activities at play. This approach to analysis of IST and BIA requirements offers a unique ability to frame problems in meaningful and social actor-centred ways, at all levels of social organisation, enabling design and development of IST that are BIA centric. The development of new knowledge advances the field of IS design, a crucial step towards offering practitioners with a practical, structured and integrative design method. The critical realist approach is the most appropriate theoretical paradigm to adopt to address the theory-practice inconsistency challenges at the heart of the IS field. Its strength as a research methodology offers the researcher a unique ability to interact with data at a level that other research methods do not: that is, to examine the impact of data at the three fundamental levels of research – empirical, actual and real – thereby enhancing the effectiveness of its application in practice. Therefore, reconceptualisation of the SI perspective theoretical paradigm from interpretivism to CR offers greater benefits not only to this research study but to the IS field. This is yet another development in the field which seeks to address the long-standing challenge of IS value contribution that is constantly diminished by ineffective design methods and poor integration of the IST and BIA disciplines, which by design should be leveraging on each other’s strengths in a quest to deliver superior results to businesses. Business requirements analysed as input into the design process using the integrative CR-based design method account for BIA requirements, thus enhancing value derived from both IST and BIA.MT 201

Naming the Pain in Requirements Engineering: A Design for a Global Family of Surveys and First Results from Germany

For many years, we have observed industry struggling in defining a high quality requirements engineering (RE) and researchers trying to understand industrial expectations and problems. Although we are investigating the discipline with a plethora of empirical studies, they still do not allow for empirical generalisations. To lay an empirical and externally valid foundation about the state of the practice in RE, we aim at a series of open and reproducible surveys that allow us to steer future research in a problem-driven manner. We designed a globally distributed family of surveys in joint collaborations with different researchers and completed the first run in Germany. The instrument is based on a theory in the form of a set of hypotheses inferred from our experiences and available studies. We test each hypothesis in our theory and identify further candidates to extend the theory by correlation and Grounded Theory analysis. In this article, we report on the design of the family of surveys, its underlying theory, and the full results obtained from Germany with participants from 58 companies. The results reveal, for example, a tendency to improve RE via internally defined qualitative methods rather than relying on normative approaches like CMMI. We also discovered various RE problems that are statistically significant in practice. For instance, we could corroborate communication flaws or moving targets as problems in practice. Our results are not yet fully representative but already give first insights into current practices and problems in RE, and they allow us to draw lessons learnt for future replications. Our results obtained from this first run in Germany make us confident that the survey design and instrument are well-suited to be replicated and, thereby, to create a generalisable empirical basis of RE in practice

Preliminary Results in a Multi-site Empirical Study on Cross-organizational ERP Size and Effort Estimation

This paper reports on initial findings in an empirical study carried out with representatives of two ERP vendors, six ERP adopting organizations, four ERP implementation consulting companies, and two ERP research and advisory services firms. Our study’s goal was to gain understanding of the state-of-the practice in size and effort estimation of cross-organizational ERP projects. Based on key size and effort estimation challenges identified in a previously published literature survey, we explored some difficulties, fallacies and pitfalls these organizations face. We focused on collecting empirical evidence from the participating ERP market players to assess specific facts about the state-of-the-art ERP size and effort estimation practices. Our study adopted a qualitative research method based on an asynchronous online focus group

On Evidence-based Risk Management in Requirements Engineering

Background: The sensitivity of Requirements Engineering (RE) to the context makes it difficult to efficiently control problems therein, thus, hampering an effective risk management devoted to allow for early corrective or even preventive measures. Problem: There is still little empirical knowledge about context-specific RE phenomena which would be necessary for an effective context- sensitive risk management in RE. Goal: We propose and validate an evidence-based approach to assess risks in RE using cross-company data about problems, causes and effects. Research Method: We use survey data from 228 companies and build a probabilistic network that supports the forecast of context-specific RE phenomena. We implement this approach using spreadsheets to support a light-weight risk assessment. Results: Our results from an initial validation in 6 companies strengthen our confidence that the approach increases the awareness for individual risk factors in RE, and the feedback further allows for disseminating our approach into practice.Comment: 20 pages, submitted to 10th Software Quality Days conference, 201

A model-driven method for the systematic literature review of qualitative empirical research

This paper explores a model-driven method for systematic literature reviews (SLRs), for use where the empirical studies found in the literature search are based on qualitative research. SLRs are an important component of the evidence-based practice (EBP) paradigm, which is receiving increasing attention in information systems (IS) but has not yet been widely-adopted. We illustrate the model-driven approach to SLRs via an example focused on the use of BPMN (Business Process Modelling Notation) in organizations. We discuss in detail the process followed in using the model-driven SLR method, and show how it is based on a hermeneutic cycle of reading and interpreting, in order to develop and refine a model which synthesizes the research findings of previous qualitative studies. This study can serve as an exemplar for other researchers wishing to carry out model-driven SLRs. We conclude with our reflections on the method and some suggestions for further researc

Unleashing the Effectiveness of Process-oriented Information Systems: Problem Analysis, Critical Success Factors, Implications

Process-oriented information systems (IS) aim at the computerized support of business processes. So far, contemporary IS have often fail to meet this goal. To better understand this drawback, to systematically identify its rationales, and to derive critical success factors for business process support, we conducted three empirical studies: an exploratory case study in the automotive domain, an online survey among 79 IT professionals, and another online survey among 70 business process management (BPM) experts. This paper summarizes the findings of these studies, puts them in relation with each other, and uses them to show that "process-orientation" is scarce and "process-awareness" is needed in IS engineering

Business and Information System Alignment Theories Built on eGovernment Service Practice: An Holistic Literature Review

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.This chapter examines previous studies of alignment between business and information systems holistically in relation to the development of working associations among professionals from information system and business backgrounds in business organization and eGovernment sectors while investigating alignment research that permits the development and growth of information system, which is appropriate, within budget and on-time development. The process of alignment plays a key role in the construction of dependent associations among individuals from two different groups, and the progress of alignment could be enhanced by emerging an information system according to the investors’ prospects. The chapter presents system theory to gather and analyze the data across the designated platforms. The outcomes classify that alignment among business and information system departments remains a priority and is of worry in different ways in diverse areas, which provides prospects for the forthcoming discussion and research.Final Published versio

Extending IT infrastructures in the service sector organisations through enterprise resource planning – a telecom case study

Copyright @ 2012 ISEing.Service Sector Organisations (SSOs) have significantly focused on adopting and implementing Enterprise Resource Planning (ERP) systems to automate their prime business processes, enhance organisational productivity with lower costs and prompt service delivery to fulfil consumer demands. Thus, ERP systems are considered as a principal source to provide imperative information vital for strategic decision making process. On the contrary, ERP systems adoption and implementation is also highly considered as a challenging and expensive process that not only requires rigorous efforts but also demands to have an exhaustive investigation of influential factors that are critical to the adoption and implementation of ERP systems. As a result, the authors exhibit that it is of great significance to investigate this area within SSOs. In so doing, this paper thus focuses on the ERP critical success factors from five different categories such as: stakeholders; process; technology; organisation; and project based on the literature analysis. These perspectives comprise of 24 factors that are imperative for a successful ERP adoption and implementation. These factors are validated through an in-depth qualitative single case study based research. The findings from the literature and empirical demonstrate that most of the factors influencing the decision making process for ERP adoption and implementation are highly significant with exception to few that have either low or medium importance