COMPLEMENTARITIES BETWEEN INFORMATION GOVERNANCE AND BIG DATA ANALYTICS CAPABILITIES ON INNOVATION

Big data has seen an explosion in interest from private and public organizations over the last few years. Researchers and practitioners have delved into examining the shifts that these technologies en-tail and their overall business value. In this study we draw on the resource-based view and on recent literature on big data analytics, and address the interplay between BDACs and information governance in shaping innovative capabilities. We theoretically develop the idea that BDAC’s help enhance inno-vative capabilities, and that information governance strengthens this relationship. To test our proposed research model, we used survey data from 175 chief information officers and IT managers. By employ-ing partial least squares structural equation modelling (PLS-SEM), results confirm our assumptions regarding the positive effect that BDACs have on both incremental and radical innovative capability. We also show that the value of BDAC’s on radical innovative capability is amplified in the presence of strong information governance, which also has a direct impact of BDAC’s. Finally, implications for research and practice are discussed

Systemic capabilities: the source of IT business value

Purpose – The purpose of this paper is to develop, and explicate the significance of the need for a systemic conceptual framework for understanding IT business value. Design/methodology/approach – Embracing a systems perspective, this paper examines the interrelationship between IT and other organisational factors at the organisational level and its impact on the business value of IT. As a result, a systemic conceptual framework for understanding IT business value is developed. An example of enhancing IT business value through developing systemic capabilities is then used to test and demonstrate the value of this framework. Findings – The findings suggest that IT business value would be significantly enhanced when systemic capabilities are generated from the synergistic interrelations among IT and other organisational factors at the systems level, while the system’s human agents play a critical role in developing systemic capabilities by purposely configuring and reconfiguring organisational factors. Practical implications – The conceptual framework advanced provides the means to recognise the significance of the need for understanding IT business value systemically and dynamically. It encourages an organisation to focus on developing systemic capabilities by ensuring that IT and other organisational factors work together as a synergistic whole, better managing the role its human agents play in shaping the systems interrelations, and developing and redeveloping systemic capabilities by configuring its subsystems purposely with the changing business environment. Originality/value – This paper reveals the nature of systemic capabilities underpinned by a systems perspective. The resultant systemic conceptual framework for understanding IT business value can help us move away from pairwise resource complementarity to focusing on the whole system and its interrelations while responding to the changing business environment. It is hoped that the framework can help organisations delineate important IT investment considerations and the priorities that they must adopt to create superior IT business value

Data spaces and the (trans)formations of data innovation and governance

In this thesis, I theorize data innovation and governance as simultaneous processes and account for the distinctive nature of data. Utilizing the concept of space, I show how data innovation and governance in multi-actor environments unfold across certain structures of possible forms, and how the realities data refer to condition the forms innovation and governance can take. The uniqueness of data entities has been of interest to information systems scholars, imparting distinct value-creation possibilities and dedicated governance approaches. In the literature on digital innovation, data have been referred to as semantic entities whose value can be open-endedly explored once assigned meaning by actors to fulfill various goals and purposes. Across the literature on data governance, data have been referred to as strategic assets that are governed by organizations. This duality of data – as valuable resources that at the same time require proper governance – has also been central in practical debates, such as the European Union’s aspirations for developing data spaces as shared infrastructures for innovating with data, while preserving European values, laws and regulations. Data innovation commonly requires recombining data that are produced, copied, shared, and used across multiple actors, requiring forms of governance extending beyond the boundaries of single organizations. In this thesis, I build on the process-oriented, realist ontology of assemblage theory to account for data’s distinctive nature and utilize the concept of space to theorize processes of innovation and governance in multi-actor environments. Data spaces, as argued in this thesis, are neither solely geometrical, nor networked; instead, provide forms across which processes of data innovation and governance can change their spatial configurations. Empirically, I study data spaces through an embedded case study in the highly regulated Norwegian healthcare sector dealing with personal and sensitive health data. The cases take an information infrastructure perspective on studying how health data (including electronic patient record data and patient-generated health data) were innovated with and governed across multiple public and private actors. Overall, the meta-analysis shows how innovation and governance with health data took on different forms as data were processed for various purposes across multiple intertwined data spaces. This thesis is aimed at theory-building and its contribution is two-fold. First, it shows how the concept of data spaces can be used to study processes of data innovation and governance as unfolding across various organizations, digital technologies, legal basis, and data sources, by changing their spatial configurations as certain thresholds are reached. Second, it shows how data do not simply decouple from the realities they refer to, rather, these realities condition the forms data innovation and governance can take and are shaped by these processes in return.publishedVersio

Big Data Analytics Capability: Antecedents and Business Value

Big data has managed in a very short time to dominate the interest of researchers and managers, vastly changing the way information is generated and used in decision making. Nevertheless, there has been disproportionate focus on the technical aspects of this emerging technology, and limited attention on other relevant organizational elements. Past research in IT business value has demonstrated that investments alone do not generate business value; rather, firms need to develop idiosyncratic and difficult to imitate capabilities. Drawing on the resource based view and dynamic capabilities view of the firm, this study examines the resources that are necessary to develop a big data analytics capability, identifies the organizational capabilities they enable, and determines factors that moderate or condition the value of a big data analytics capability. Employing a multiple case study approach on six international firms, we develop a deeper understanding of the importance of big data analytics resources and the mechanisms through which they leveraged towards the strengthening of organizational capabilities

Ecosystem synergies, change and orchestration

This thesis investigates ecosystem synergies, change, and orchestration. The research topics are motivated by my curiosity, a fragmented research landscape, theoretical gaps, and new phenomena that challenge extant theories. To address these motivators, I conduct literature reviews to organise existing studies and identify their limited assumptions in light of new phenomena. Empirically, I adopt a case study method with abductive reasoning for a longitudinal analysis of the Alibaba ecosystem from 1999 to 2020. My findings provide an integrated and updated conceptualisation of ecosystem synergies that comprises three distinctive but interrelated components: 1) stack and integrate generic resources for efficiency and optimisation, 2) empower generative changes for variety and evolvability, and 3) govern tensions for sustainable growth. Theoretically grounded and empirically refined, this new conceptualisation helps us better understand the unique synergies of ecosystems that differ from those of alternative collective organisations and explain the forces that drive voluntary participation for value co-creation. Regarding ecosystem change, I find a duality relationship between intentionality and emergence and develop a phasic model of ecosystem sustainable growth with internal and external drivers. This new understanding challenges and extends prior discussions on their dominant dualism view, focus on partial drivers, and taken-for-granted lifecycle model. I propose that ecosystem orchestration involves systematic coordination of technological, adoption, internal, and institutional activities and is driven by long-term visions and adjusted by re-visioning. My analysis reveals internal orchestration's important role (re-envisioning, piloting, and organisation architectural reconfiguring), the synergy and system principles in designing adoption activities, and the expanding arena of institutional activities. Finally, building on the above findings, I reconceptualise ecosystems and ecosystem sustainable growth to highlight multi-stakeholder value creation, inclusivity, long-term orientation and interpretative approach. The thesis ends with discussing the implications for practice, policy, and future research.Open Acces

Whose Talk is Walked? IT Decentralizability, Vendor versus Adopter Discourse, and the Diffusion of Social Media versus Big Data

Discourse plays a central role in organizing vision and computerization movement perspectives on IT innovation diffusion. While we know that different actors within a community contribute to the discourse, we know relatively little about the roles different actors play in diffusing different types of IT innovations. Our study investigates vendor versus adopter roles in social media and big data diffusion. We conceptualize the difference between the two IT innovations in terms of their decentralizability, i.e., extent to which decision rights pertinent to adoption of an organizational innovation can be decentralized. Based on this concept, we hypothesized: (1) adopters would contribute more to discourse about the more decentralizable social media and influence its diffusion more than would vendors; (2) vendors would contribute more to discourse about the less decentralizable big data and influence its diffusion more than would adopters. Empirical evidence largely supported these hypotheses

HOW TO CULTIVATE ANALYTICS CAPABILITIES WITHIN AN ORGANIZATION? – DESIGN AND TYPES OF ANALYTICS COMPETENCY CENTERS

Today, the ability to exploit big data using advanced analytics bears considerable potential to create competitive advantages. Therefore, business leaders need to make crucial design decisions on how to cultivate these capabilities within their organization. Analytics Competency Centers (ACCs) are an important organizational solution to spread analytics capabilities by providing leadership, expertise and infrastructure. In this paper, we analyze nine analytics competency centers of major global players across several industries - based on a series of interviews with executives, consultants and data scientists. We identify strategic and structural design options, common processes, best-practices, and potential future development paths. In particular, we distinguish between two generic types of centers that differ in their strategic orientation and their choice of design options. Our work contributes to organizational design theory addressing the question on how analytics capabilities can be nurtured for competitive advantage. It should provide concrete guidance to business leaders on how to design and apply ACCs as an organizational option

Strategic design of culture for digital transformation

Industrial organizations need to take a cultural leap in order to integrate social systems with rapidly evolving digital technologies. Subsequently, aspiration for digital transformation enabled by organizational culture is ubiquitous; however, guidance in the literature on how to refresh the culture in pursuit of digital transformation strategy is underdeveloped. We conducted a diagnostic multi-case study on the organization culture in three globally renowned industrial organizations undergoing digital transformation strategy implementation. Through thematic analysis of qualitative data, we identified cultural artefacts, values in action, and assumptions that industrial organizations should refresh to enable digital transformation. It was found that forerunner industrial organizations’ approach to culture is strategically proactive and thoughtful. Furthermore, their leaders employed culture as a social control system for digital technology adoption. The research findings are summarized as an exploratory framework for the strategic design of culture for the purpose, governance, ecosystem, and organization of sociotechnical systems.© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed

THE EFFECT OF BIG DATA ANALYTICS CAPABILITY ON FIRM PERFORMANCE

Big data analytics (BDA) has emerged as an important area of study for both academics and practitioners. Despite of rising potential value of BDA, a few studies have been conducted to investigate the effect of BDA on firm performance. In this research in progress, according to the challenges of BDA dimensions (volume, variety, velocity, veracity and value) we propose the BDA capability dimensions in line with IT capability concept. BDA infrastructure capability, BDA management capability, BDA personnel capability and relational BDA capability provide the overall BDA Capability concept. The study, by employing dynamic capability, proposes that BDA capability impacts on firm financial and market performance by mediated effect of operational performance. The finding of this research by providing essential BDA capability and its effect on firm performance can apply as a roadmap and fill the gap between managers’ expectation of BDA and what is emerged of BDA implementation