Business Models - An Information Systems Research Agenda

The business model concept, although a relatively new topic for research, has garnered growing attention over the past decade. Whilst it has been robustly defined, the concept has so far at- tracted very little substantive research. In the context of the wide-spread dig- itization of businesses and society at large, the logic inherent in a business model has become critical for business success and, hence, a focus for aca- demic inquiry. The business model con- cept is identified as the missing link between business strategy, processes, and Information Technology (IT). The authors argue that the BISE community offers distinct and unique competen- cies (e.g., translating business strate- gies into IT systems, managing busi- ness and IT processes, etc.) that can be harnessed for significant research con- tributions to this field. Within this re- search gap three distinct streams are delineated, namely, business models in IT industries, IT enabled or digital business models, and IT support for developing and managing business models. For these streams, the cur- rent state of the art, suggest critical re- search questions, and suitable research methodologies are outlined

Placing Process Intelligence within the Business Intelligence Framework

Recently we have seen a trend of increasingly process-aware information systems and architectures. The application of Business Process Management ever more determines the information systems research agenda, as well as the ICT industry. As more process-related data and models become available, techniques have been introduced that attempt to extract intelligence and mine process information. In this paper, we provide an overview of existing Process Intelligence research, and position the concepts and techniques within the Business Intelligence framework, providing a common ground for both current and future research

Socio-Technical Phenomena Involving Blockchains: Review, Critique and Agenda

The paper reviews and assesses the state of blockchain research and conceptualises blockchain uses as socio-technical phenomena. The first blockchain use case emerged with the release of Bitcoin in 2008. Since then, blockchain use has proliferated in various other areas and encompassed an array of applications, such as tokens (cryptocurrencies and non-fungible tokens), decentralised autonomous organisations and smart contracts. The paper presents a structured literature review of 113 research papers in information systems and related fields (e.g., organization studies, management and human- computer interaction) that commonly study socio-technical phenomena and organisational uses of technology. Conceptualising blockchain uses as socio-technical phenomena highlights the necessity to account for business models, social implications and stakeholders’ values regarding blockchains beyond the blockchain technology ‘as such’. The review reveals that the existing literature has articulated substantial knowledge of some aspects of blockchain uses but lacks knowledge in other aspects. Therefore, we propose a research agenda

From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling

The benefits of enterprise modeling (EM) and its contribution to organizational tasks are largely undisputed in business and information systems engineering. EM as a discipline has been around for several decades but is typically performed by a limited number of people in organizations with an affinity to modeling. What is captured in models is only a fragment of what ought to be captured. Thus, this research note argues that EM is far from its maximum potential. Many people develop some kind of model in their local practice without thinking about it consciously. Exploiting the potential of this “grass roots modeling” could lead to groundbreaking innovations. The aim is to investigate integration of the established practices of modeling with local practices of creating and using model-like artifacts of relevance for the overall organization. The paper develops a vision for extending the reach of EM, identifies research areas contributing to the vision and proposes elements of a future research Agenda

Research trends of the knowledge-based economy: A bibliometric study

Purpose: In recent years, the Knowledge-Based Economy (KBE) has been an emergent field related to Information and Communication Technologies (ICTs). In current business models, organizations need to be part of the digital transformation and create value for customers, which has caused an increase in the number of scientific publications on the KBE. This study aims to analyze the research trends of the scientific literature on the KBE published between 1986 and 2021. Design/methodology: A bibliometric analysis was conducted using the Scopus database. The results were analyzed based on quantity, impact, and structure indicators and topics. In addition, this paper proposes a research agenda for future studies in this field. Contributions and results: The study of the KBE has attracted the interest of the scientific community, especially in 2006, 2010, and 2011. This literature review shows that developed countries (e.g., Poland, Romania, the United Kingdom, the United States, and Germany) have researched this field the most. Terms such as knowledge-based systems, knowledge management, and information management have become more common in the literature and are setting trends. These terms refer to essential components for the advancement of the KBE as an approach that can dynamize the economic development of organizations and countries. Originality/value: This study contributes to the literature because it analyzes the theoretical evolution of the KBE field. In addition, it proposes an agenda for future studies to advance the research fields related to the Triple Helix model of innovation in developing countriesPeer Reviewe

T-government for benefit realisation

This paper proposes a model for t-Government and highlights the research agenda needed to increase understanding of transformational government and the processes involved in furthering the agenda of the t-Government. In particular, both an operational and a conceptual model for the effective involvement of citizens and businesses in government functioning have been proposed. This will help to define an agenda for t-Government research that emerges from national UK strategy and policy for e-Government. The main threads of t- Government encompass: (1) A citizen-centric delivery of public services or e-inclusion, (2) A shared services culture to maximize value added to clients, (3) The effective delivery and management of resources and skills within government or professionalism. All three threads should be addressed principally from the perspectives of delivery, evaluation and participation in view of benefit realisation as envisioned by Government strategic planning and policy directives (CabinetOffice, 2005). The management of change dimension of these phenomena have been included in the research agenda. In particular, research is needed to reshape the discourse towards emphasising a citizen centric approach that defines, develops, and benefits from public service. Decision makers in Government will need models of Governance that fulfil transformational objectives. They will also need models of benefits realisation within a strategic Governance framework. It has been argued that t-Government research should be addressing these relative voids

A Research Agenda for Studying Open Source I: A Multi-Level Framework

This paper presents a research agenda for studying information systems using open source software A multi-level research model is developed at five discrete levels of analysis: (1) the artifact; (2) the individual; (3) the team, project, and community; (4) the organization; and (5) society. Each level is discussed in terms of key issues within the level. Examples are based on prior research. In a companion paper, [Niederman, et al 2006], we view the agenda through the lens of referent discipline theories

Disrupting Illicit Supply Networks: New Applications of Operations Research and Data Analytics to End Modern Slavery

Report from a 2017 National Science Foundation workshop on promising research directions for applications of operations research and data analytics toward the disruption of illicit supply networks like human trafficking. The workshop was funded by the NSF’s Operations Engineering (ENG) and the Law & Social Sciences Program (SBE) under grant # CMMI-1726895. The report addresses the opportunity to apply advances from the fields of operations research, management science, analytics, machine learning, and data science toward the development of disruptive interventions against illicit networks. Such an extension of the current research agenda for trafficking would move understanding of such dynamic systems from descriptive characterization and predictive estimation toward improved dynamic operational control.Bureau of Business Researc

Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review

The digital transformation of manufacturing (a phenomenon also known as "Industry 4.0" or "Smart Manufacturing") is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field