Understanding Information System Innovation: Moving beyond adoption and diffusion

The ongoing introduction of new information technology and the wide range of opportunities it provides to individuals and organizations makes information system innovation a prominent theme for practitioners and researchers. However, within IS research the focus has been predominantly on the adoption and diffusion of information technology, as opposed to the discovery and development of new ideas for how information systems can enable or drive business innovation. To address this gap, this paper conducted a literature review into business innovation (and related notions of organizational and administrative innovation) as it has been studied within the IS discipline. The contribution of this paper is that it presents ten important factors which influence organizations to be innovative with their business with information systems, which we propose are particular relevant for the conceptualization and generation of IS innovation. This review can provide guidance for decision makers of organizations that use information technology

THE IMPACT OF USER CAPITAL ON INFORMATION SYSTEMS SUCCESS

Despite continual advancements in technology, organizations still struggle to attain benefits from the usage of Information Systems (IS). Continual advancements in technology has resulted in a hypercompetitive, and globalised marketplace. Consequently, in order to remain competitive, organizations are placing increased pressure on their operational employees to be autonomous, solve problems, make decisions, and complete a broad range of tasks. Prominent IS success models continue to focus predominantly on the technological drivers of IS use, overwhelmingly neglecting the complexities of users. Therefore this research seeks to formulate a \u27user capital’ construct which considers the increased pressures placed on operational users. We define user capital as a multidimensional construct consisting of the skills, affective attitude, motivation, and cognitive characteristics possessed by individuals who employ an Information System to perform tasks. This document primarily focuses upon the research method and the a-priori conceptualization of user capital, which is part of a larger research project which seeks to examine user capital in the context of IS success

Online service delivery models : an international comparison in the public sector

Governments around the world are facing the challenge of responding to increased expectations by their customers with regard to public service delivery. Citizens, for example, expect governments to provide better and more efficient electronic services on the Web in an integrated way. Online portals have become the approach of choice in online service delivery to meet these requirements and become more customer-focussed. This study describes and analyses existing variants of online service delivery models based upon an empirical study and provides valuable insights for researchers and practitioners in government. For this study, we have conducted interviews with senior management representatives from five international governments. Based on our findings, we distinguish three different classes of service delivery models. We describe and characterise each of these models in detail and provide an in-depth discussion of the strengths and weaknesses of these approaches

Understanding the benefits of IT shared services: Insights from Higher Education Sector

In search of efficiencies and effectiveness demanded by a changing marketplace, universities are rethinking their IT services and are considering shared services options. While studies suggest that a wide range of IT services could be shared across Higher Education Institutions (HEIs) offering many potential benefits, there has been little empirical evidence of the specific benefits that apply to this sector and their relationships. A deeper understanding of shared services benefits will inform decision making in practice while progressing research in this field. Through a series of case studies of shared services in the Malaysian Higher Education sector, 5 key categories of benefits are empirically explored: (i) Economic, (ii) Technical, (iii) Process Improvement, (iv) Strategic and Organizational, and (v) Political benefits. The study identified specific sub-themes for each of these broad, generic benefit categories. In addition, potential relationships between these categories are also investigated to form an early theoretical framework on the complex associations between these different benefit categories that can potentially contribute to the wider shared services research

A Literature Review on the Relationship between Disruption and Business Model Innovation: What Choices do Incumbents have?

In many industries, incumbents face or are aware of the threat of disruption because of ongoing digital innovation. Disruption literature, prior to the late ’90s’, alluded to incumbents’ failure or success for reasons such as the technology deployed by the organisation. However, a few years after the first publication of Christensen’s theory on disruption (1995), researchers, including Christensen, began to attribute the success or failure of organisations to business models and not to technology per se. Thus, how organisations innovate their business models explain how they will fare in the market. A systematic literature review of the extant literature on disruption and business models, between 1997 and 2019 was conducted. The content analysis revealed three key relationships between disruption and business model innovation: (1) Entrants deploying disruptive business models, (2) Incumbents creating new business models, and (3) Incumbents adapting existing business models

Who are the Operational Users of Enterprise Systems: Does One Size Fit All?

Suicide prevention is a major concern for railway operators internationally. This paper reports research in progress examining how information systems can facilitate passenger/organisational co-created value in terms of reducing the incidence of railway suicide. Thus, the objectives of this research are to: (1) explore and evaluate the effectiveness of using information systems interventions in a passenger railway servicescape, and (2) explore the relationship between these servicescape interventions and customer experience, and assess their impact on railway suicide prevention from a value co-creation perspective. While the focus of this research is preventing railway suicide, the information systems developed would also lend themselves to a wide range of additional railway security issues such as the detection and prevention of crime, terrorism, and potential misadventure incidents

Understanding Socio-cognitive Sensemaking of Digital Innovations in Twitter

With digital innovations increasingly being introduced and adopted at a rapid rate, it becomes ever more challenging to make sense of these innovations for aspiring practitioners. The success of a digital innovation in terms of its adoption and diffusion depends on how well it is understood and this understanding is shared amongst interested parties. As such socio-cognitive sensemaking is seen as one of the key conceptual elements theorizing about digital innovation. In this paper, we examined the socio-cognitive sensemaking of digital innovations through the lens of organizing vision theory. We studied the career dynamics and innovation community of blockchain in Twitter by analyzing the discourse over a seven year period of time using a data science approach. In particular, we used structural topic modeling to extract topics and topic prevalence over time. Our findings revealed that the discourse about blockchain consists of references to personal use as well as organizational applications. Furthermore, the discourse community consists of a mix of personal actors and organizational actors with social bots as additional actors. Based on our findings, we propose that digital innovations can first obtain early momentum through the discourse around personal use and next through the discourse around organizational applications while being mutually enhancing. In addition, we propose that institutional bots can engage in institutional entrepreneurship activities to increase momentum for a digital innovation

Ethical issues around crowdwork: How can blockchain technology help?

The practice of marketing has become increasingly technology-dependent, making organisations reliant on fragmented information systems that extend beyond organisational boundaries and requiring marketing workers to develop technology-related knowledge and/or collaborate more closely with those who have it. Despite massive investment in marketing technology, there has been little academic research on the intersection between marketing and technology knowledge. Drawing on three examples, we illustrate how complex and IS-dependent the practice of marketing and marketing decision-making have become. We then analyse those examples through the lens of knowledge management. Specifically, we consider the differences between traditional and modern marketing ecosystems and the implications for knowledge work, knowledge management, and decision-making at the level of organisations and ecosystems. We propose a provisional conceptual framework for understanding how market, marketing and technology knowledge have become intertwined and propose a research agenda for examining that more closely

Business Model Canvas to Create and Capture AI-enabled Public Value

The compatibility between the business model and AI-enabled value creation is paramount for the sustainability of organizations. The public sector lags the private sector in the race to AI readiness and adoption. Although the concept of the business model for the public sector has previously been discussed, we found a lack of evidence for the process of adaption of the business model as a value creation and capture tool from commercial motives to public value motives. This paper adapts the conventional business model canvas for the public sector as it pertains to the design and development of AI systems. Employing a design-science research approach, we postulate five design principles that public agencies must follow to design and deploy AI-enabled public services