Dynamic capabilities - what do we 'actually' know? : a systematic assessment of the field and a research agenda

How organizations deal and manage strategic change is a fundamental problem in management studies. An important way increasingly chosen to implement strategies is through programmes. Programme Management is an emerging discipline that aims to research how programmes could be more effective in delivering their expected strategic benefits. In order to obtain this, it is recognised that successful programmes require a continuous development of capabilities at different levels and on a context-dependent basis. My research project aims to use the theoretical lens of dynamic capabilities to explore how different capabilities could be integrated, built, and reconfigured in a context of Programme Management. In order to establish robust bases for the PhD, this thesis presents a systematic literature review (and its formal protocol) of the dynamic capabilities view of the firm. In doing so, in this MRes thesis I test for the level of reification of the concept of dynamic capabilities and highlight some major theoretical challenges. I observe that the field is currently affected by a conversational misalignment that is hindering the potential for further research. In particular, the argument is that empirical and conceptual developments have grown from the same foundations but with low mutual influence. In addition, I utilize content and thematic analysis to explore areas where future efforts may be fruitfully directed. Overall, findings show how dynamic capabilities are an emerging field where several research gaps may be identified. However, they also highlight how it is fundamental to clarify on which theoretical foundations any research builds. Finally, I introduce some interesting findings that may be of help for an operationalization in a Programme Management context. In particular, I suggest that a high-potential and unexplored theme is how dynamic capabilities are created and sustained in the inter-organizational relationship between business service providers and their client firms

An investigation of analytics and business intelligence applications in improving healthcare organization performance: a mixed methods research

The healthcare ecosystem in the US is currently undergoing series of refinement and reformation due to the need to (i) improve quality of care and (ii) reduce cost. To achieve their key objective, healthcare organizations (HCOs) currently face a fundamental challenge: how to best use or optimize limited resources while providing better care and services to patients? The answer to this question might lie within HCO’s massive data and the ability to identify and apply appropriate analytics and business intelligence (A&BI) techniques and technologies to discern and extract relevant information and knowledge from that data. However, despite the increasing interest in the implementation and utilization of A&BI techniques and technologies by various organizations to improve operational efficiencies and financial performance, HCOs still lag behind other sectors in the adoption and use of A&BI capabilities. Motivated by the “data rich but information poor” syndrome currently facing HCOs, this dissertation applies a mixed method research–case study (interpretivist) and survey (positivist) – to investigate how healthcare organizations can leverage A&BI techniques and technologies to improve their overall performance. In achieving this objective, I illustrate an exemplar of how A&BI techniques and technologies can effectively be applied by specifically answering this high-level research question (RQ): How can A&BI techniques, methods, and technologies be developed and leveraged to improve performance in healthcare organizations? This high-level RQ has been broken down into four sub-questions that will be answered in two different studies in this dissertation. In the first study, I investigate what combination of A&BI techniques and technologies HCOs are currently applying to create value. This study was conducted by using content/literature analysis and case study methods in a large healthcare organization. The second study builds on the first study to investigate, using both interview and survey data, how A&BI capabilities can be developed, cultivated and nurtured as a core competency or capability that significantly helps improve healthcare organizations’ overall performance (such as cost reduction, quick access to providers and treatment, effective diagnostics, etc.). I found very novel and interesting results in both studies that not only address the research questions, but also provide significant theoretical and practical contributions. Major contributions of study 1 include: revising and remodeling of an outdated healthcare value chain (HCVC) framework that is more realistic and applicable to current care delivery practices in the healthcare industry and mapping of A&BI capabilities to the different domains of the revised HCVC framework. Study 2 provides theoretical contribution to the existing literature by conceptualizing and empirically validating A&BI capability as a third-order multi-dimension construct and its significant influence on performance

Rethink Digital Health Innovation: Understanding Socio-Technical Interoperability as Guiding Concept

Diese Dissertation sucht nach einem theoretischem Grundgerüst, um komplexe, digitale Gesundheitsinnovationen so zu entwickeln, dass sie bessere Erfolgsaussichten haben, auch in der alltäglichen Versorgungspraxis anzukommen. Denn obwohl es weder am Bedarf von noch an Ideen für digitale Gesundheitsinnovationen mangelt, bleibt die Flut an erfolgreich in der Praxis etablierten Lösungen leider aus. Dieser unzureichende Diffusionserfolg einer entwickelten Lösung - gern auch als Pilotitis pathologisiert - offenbart sich insbesondere dann, wenn die geplante Innovation mit größeren Ambitionen und Komplexität verbunden ist. Dem geübten Kritiker werden sofort ketzerische Gegenfragen in den Sinn kommen. Beispielsweise was denn unter komplexen, digitalen Gesundheitsinnovationen verstanden werden soll und ob es überhaupt möglich ist, eine universale Lösungsformel zu finden, die eine erfolgreiche Diffusion digitaler Gesundheitsinnovationen garantieren kann. Beide Fragen sind nicht nur berechtigt, sondern münden letztlich auch in zwei Forschungsstränge, welchen ich mich in dieser Dissertation explizit widme. In einem ersten Block erarbeite ich eine Abgrenzung jener digitalen Gesundheitsinnovationen, welche derzeit in Literatur und Praxis besondere Aufmerksamkeit aufgrund ihres hohen Potentials zur Versorgungsverbesserung und ihrer resultierenden Komplexität gewidmet ist. Genauer gesagt untersuche ich dominante Zielstellungen und welche Herausforderung mit ihnen einhergehen. Innerhalb der Arbeiten in diesem Forschungsstrang kristallisieren sich vier Zielstellungen heraus: 1. die Unterstützung kontinuierlicher, gemeinschaftlicher Versorgungsprozesse über diverse Leistungserbringer (auch als inter-organisationale Versorgungspfade bekannt); 2. die aktive Einbeziehung der Patient:innen in ihre Versorgungsprozesse (auch als Patient Empowerment oder Patient Engagement bekannt); 3. die Stärkung der sektoren-übergreifenden Zusammenarbeit zwischen Wissenschaft und Versorgungpraxis bis hin zu lernenden Gesundheitssystemen und 4. die Etablierung daten-zentrierter Wertschöpfung für das Gesundheitswesen aufgrund steigender bzgl. Verfügbarkeit valider Daten, neuen Verarbeitungsmethoden (Stichwort Künstliche Intelligenz) sowie den zahlreichen Nutzungsmöglichkeiten. Im Fokus dieser Dissertation stehen daher weniger die autarken, klar abgrenzbaren Innovationen (bspw. eine Symptomtagebuch-App zur Beschwerdedokumentation). Vielmehr adressiert diese Doktorarbeit jene Innovationsvorhaben, welche eine oder mehrere der o.g. Zielstellung verfolgen, ein weiteres technologisches Puzzleteil in komplexe Informationssystemlandschaften hinzufügen und somit im Zusammenspiel mit diversen weiteren IT-Systemen zur Verbesserung der Gesundheitsversorgung und/ oder ihrer Organisation beitragen. In der Auseinandersetzung mit diesen Zielstellungen und verbundenen Herausforderungen der Systementwicklung rückte das Problem fragmentierter IT-Systemlandschaften des Gesundheitswesens in den Mittelpunkt. Darunter wird der unerfreuliche Zustand verstanden, dass unterschiedliche Informations- und Anwendungssysteme nicht wie gewünscht miteinander interagieren können. So kommt es zu Unterbrechungen von Informationsflüssen und Versorgungsprozessen, welche anderweitig durch fehleranfällige Zusatzaufwände (bspw. Doppeldokumentation) aufgefangen werden müssen. Um diesen Einschränkungen der Effektivität und Effizienz zu begegnen, müssen eben jene IT-System-Silos abgebaut werden. Alle o.g. Zielstellungen ordnen sich dieser defragmentierenden Wirkung unter, in dem sie 1. verschiedene Leistungserbringer, 2. Versorgungsteams und Patient:innen, 3. Wissenschaft und Versorgung oder 4. diverse Datenquellen und moderne Auswertungstechnologien zusammenführen wollen. Doch nun kommt es zu einem komplexen Ringschluss. Einerseits suchen die in dieser Arbeit thematisierten digitalen Gesundheitsinnovationen Wege zur Defragmentierung der Informationssystemlandschaften. Andererseits ist ihre eingeschränkte Erfolgsquote u.a. in eben jener bestehenden Fragmentierung begründet, die sie aufzulösen suchen. Mit diesem Erkenntnisgewinn eröffnet sich der zweite Forschungsstrang dieser Arbeit, der sich mit der Eigenschaft der 'Interoperabilität' intensiv auseinandersetzt. Er untersucht, wie diese Eigenschaft eine zentrale Rolle für Innovationsvorhaben in der Digital Health Domäne einnehmen soll. Denn Interoperabilität beschreibt, vereinfacht ausgedrückt, die Fähigkeit von zwei oder mehreren Systemen miteinander gemeinsame Aufgaben zu erfüllen. Sie repräsentiert somit das Kernanliegen der identifizierten Zielstellungen und ist Dreh- und Angelpunkt, wenn eine entwickelte Lösung in eine konkrete Zielumgebung integriert werden soll. Von einem technisch-dominierten Blickwinkel aus betrachtet, geht es hierbei um die Gewährleistung von validen, performanten und sicheren Kommunikationsszenarien, sodass die o.g. Informationsflussbrüche zwischen technischen Teilsystemen abgebaut werden. Ein rein technisches Interoperabilitätsverständnis genügt jedoch nicht, um die Vielfalt an Diffusionsbarrieren von digitalen Gesundheitsinnovationen zu umfassen. Denn beispielsweise das Fehlen adäquater Vergütungsoptionen innerhalb der gesetzlichen Rahmenbedingungen oder eine mangelhafte Passfähigkeit für den bestimmten Versorgungsprozess sind keine rein technischen Probleme. Vielmehr kommt hier eine Grundhaltung der Wirtschaftsinformatik zum Tragen, die Informationssysteme - auch die des Gesundheitswesens - als sozio-technische Systeme begreift und dabei Technologie stets im Zusammenhang mit Menschen, die sie nutzen, von ihr beeinflusst werden oder sie organisieren, betrachtet. Soll eine digitale Gesundheitsinnovation, die einen Mehrwert gemäß der o.g. Zielstellungen verspricht, in eine existierende Informationssystemlandschaft der Gesundheitsversorgung integriert werden, so muss sie aus technischen sowie nicht-technischen Gesichtspunkten 'interoperabel' sein. Zwar ist die Notwendigkeit von Interoperabilität in der Wissenschaft, Politik und Praxis bekannt und auch positive Bewegungen der Domäne hin zu mehr Interoperabilität sind zu verspüren. Jedoch dominiert dabei einerseits ein technisches Verständnis und andererseits bleibt das Potential dieser Eigenschaft als Leitmotiv für das Innovationsmanagement bislang weitestgehend ungenutzt. An genau dieser Stelle knüpft nun der Hauptbeitrag dieser Doktorarbeit an, in dem sie eine sozio-technische Konzeptualisierung und Kontextualisierung von Interoperabilität für künftige digitale Gesundheitsinnovationen vorschlägt. Literatur- und expertenbasiert wird ein Rahmenwerk erarbeitet - das Digital Health Innovation Interoperability Framework - das insbesondere Innovatoren und Innovationsfördernde dabei unterstützen soll, die Diffusionswahrscheinlichkeit in die Praxis zu erhöhen. Nun sind mit diesem Framework viele Erkenntnisse und Botschaften verbunden, die ich für diesen Prolog wie folgt zusammenfassen möchte: 1. Um die Entwicklung digitaler Gesundheitsinnovationen bestmöglich auf eine erfolgreiche Integration in eine bestimmte Zielumgebung auszurichten, sind die Realisierung eines neuartigen Wertversprechens sowie die Gewährleistung sozio-technischer Interoperabilität die zwei zusammenhängenden Hauptaufgaben eines Innovationsprozesses. 2. Die Gewährleistung von Interoperabilität ist eine aktiv zu verantwortende Managementaufgabe und wird durch projektspezifische Bedingungen sowie von externen und internen Dynamiken beeinflusst. 3. Sozio-technische Interoperabilität im Kontext digitaler Gesundheitsinnovationen kann über sieben, interdependente Ebenen definiert werden: Politische und regulatorische Bedingungen; Vertragsbedingungen; Versorgungs- und Geschäftsprozesse; Nutzung; Information; Anwendungen; IT-Infrastruktur. 4. Um Interoperabilität auf jeder dieser Ebenen zu gewährleisten, sind Strategien differenziert zu definieren, welche auf einem Kontinuum zwischen Kompatibilitätsanforderungen aufseiten der Innovation und der Motivation von Anpassungen aufseiten der Zielumgebung verortet werden können. 5. Das Streben nach mehr Interoperabilität fördert sowohl den nachhaltigen Erfolg der einzelnen digitalen Gesundheitsinnovation als auch die Defragmentierung existierender Informationssystemlandschaften und trägt somit zur Verbesserung des Gesundheitswesens bei. Zugegeben: die letzte dieser fünf Botschaften trägt eher die Färbung einer Überzeugung, als dass sie ein Ergebnis wissenschaftlicher Beweisführung ist. Dennoch empfinde ich diese, wenn auch persönliche Erkenntnis als Maxim der Domäne, der ich mich zugehörig fühle - der IT-Systementwicklung des Gesundheitswesens

How and why do large private developers engage in green building practice? The case of Bangkok, Thailand

Sustainable building design and construction are increasingly adopted as a means to alleviate growing environmental concerns with particular emphasis on green building practice. However, despite the growing awareness, integration of green building practice in developing cities such as those in Southeast Asia remains slow. Barriers to green building practice tend to be conceived as pragmatic in nature; cost premiums, lack of expertise, technology, government incentives, and market demands have been identified as key constraints. While these factors may be significantly relevant through the lens of neoclassical economics, this study suggests that solely addressing pragmatic concerns may be a limited approach to understanding developer behaviour and an oversimplification of the factors involved therein. Developers are organisations; entities composed of groups and individuals with unique characteristics, values, and belief systems. Thus, it stands to reason that there may be other organisational and psychological constructs involved in shaping behaviour and organisational decisions. The aim of this research is twofold. First, it seeks to readdress the understanding of factors and mechanisms behind property developer behaviour and decisions to adopt green building practice; whereby a theoretical framework that draws on organisational behaviour theory is proposed. Second, with regard to the proposed framework and looking into the case study of Bangkok, Thailand where private developers are dominant, it investigates ‘how’ and ‘why’ large private developers engage in green building practice focusing on the softer psychological factors rooted in organisational culture and individual perceptions of top managers. Through a qualitative approach, the study explores the behaviour of 44 publicly listed property developers operating in Bangkok and their responses to green building practice through document analysis and semi-structured interviews. Findings show that green building practice in Bangkok is implemented through a top-down approach with significant drive from top managers. Notions of responsibility, leadership, and experience are discussed as psychological and organisational constructs that distinguish developers with green buildings from those without. The study concludes with implications for future research and policy, including reflections on the privatisation of property developers and the need to address sustainability through formal and informal institutions

Beyond Participatory Design for Service Robotics

The spread of technologies as Cloud and Distributed Computing, the Internet of Things (IoT) and Machine Learning techniques comes with highly disruptive innovation potential and consequent design imperatives. High connectivity of devices and machines is shaping not only sensing and monitoring capabilities, but also describing ever more ubiquitous and diffuse computing capabilities, affecting decision-making with a wide range of assisting tools and methods. With the scaling potential of moving beyond its contemporary application such as industrial facilities monitoring, precision farming and agriculture, healthcare and risk management scenarios, RaaS is bound to involve an increasingly fluid and diverse range of users, shaping new socio-technical systems where practices, habits and relationships will evolve in respect to its adoption. On these premises, applied research at Polytechnic Interdepartmental Centre for Service Robotics in Turin, Italy, focuses on the development of a service robotics platform able to operate on the local scale and capable of adapting to evolving scenarios

The effects of blockchain on supply chain trust : a thesis presented in partial of the requirements for the Master of Supply Chain Management at Massey University, Palmerston North, New Zealand

Enterprises place strategic importance on supply chains to effectively manage their flow of materials, products, and information. Supply chains primary aim is to have the right product, at the right place, at the right cost, at the right time. Therefore, any gain in efficiency leads to a competitive advantage for the enterprise. A key element to achieving differentiation from competitors is through collaborative partnerships with supply chain suppliers and ultimately, this is achieved by the presence of high-level trust amongst stakeholders. The academic pursuit of this research paper is to explore the type of trust found in supply chain relationships and what effect the adoption of an innovative technology like blockchain would have on trust. Through a thorough literature review, this research thesis addresses comparisons of types of trust, the importance of trust and how trust is achieved in supply chains. Blockchain is, by all definitions, a nascent technology and this amplifies concerns of risk from enterprise and further increases its barriers to adoption. This research thesis argues that blockchain is particularly exposed to a slow rate of adoption due to a lack of knowledge of what distinguishes it from other exponential technologies. In arguing this the research seeks to answer the question: how does blockchain affect trust in supply chain relationships? Through the development of a survey and semi-structured interviews, responses capture the attitude of supply chain professionals surrounding perceived trust in their supply chain, their piloting of exponential technologies and the biggest inhibitors they have experienced to implementing blockchain in their organisations. One of the conclusions of this research is that through the successful implementation of blockchain, enterprises are likely to see increased trust, sustainability, visibility, and efficiency. This cannot be achieved however without an increased understanding from management about the technology, its use cases, and the efficiencies it will bring to a modern, resilient, and adaptive supply chain. This research establishes that the future for blockchain is optimistic if greater awareness of the technological benefits is exposed to the supply chain industry and its various stakeholders

A Contextualist Approach to Telehealth Innovations

A Contextualist Approach to Telehealth Innovations By Sunyoung Cho Abstract Healthcare is considered one of the most important social issues in the U.S. as well as in other societies with ever-increasing costs of medical service provision. The information-intensive nature of the healthcare industry and the perception of information technology (IT) as a way to ease up healthcare costs and improve quality have lead to increased use of and experiments with IT-based innovations. These activities present interesting research opportunities for IS researchers and they have led to an increasing body of knowledge on healthcare information systems. This research aims at contributing to this line of research by adopting a contextualist approach to examine the adoption, use, and further diffusion of telehealth innovations. A contextualist approach provides a particularly interesting and relevant perspective to study adoption and diffusion processes of healthcare innovations. The adopted contextualist approach is process-oriented, it applies multiple levels of analysis, and it accommodates different theoretical lenses to make sense of the two telehealth innovations under investigation. A key assumption is that innovations should be understood as ongoing processes of change, not just technologies, or isolated change events with clear boundaries. Healthcare innovations have in this view much broader connotations, including development of IT-based applications, their adoption and diffusion over time, and the interactions between many stakeholders and organizations that shape the innovation in a specific context. The contextualist approach suggested by Pettigrew is adopted as an overarching framework for multiple studies based on empirical investigation of two telehealth innovations; the main focus is on a telestroke innovation in the U.S. while a radiology innovation in Sweden serves as a complementary case. Each study is documented as an independent research publication with its own theoretical perspective and contributions. The overall contextualist approach and the related findings are then summarized across the individual studies. Telehealth innovations are particularly interesting examples of healthcare information systems. They leverage contemporary network infrastructures and interaction devices to allow provision of healthcare services, clinical information, and education over distance, thereby reducing the costs and improving the availability of medical services. The two telehealth innovations are investigated through in-depth case studies. This theses summary presents the theoretical background for the studies; it motivates and details how the qualitative case studies based on critical realist assumptions were designed and conducted; it outlines the resulting research publications; and it discusses the contributions of investigating telehealth innovations from a contextualist approach

Assuming Data Integrity and Empirical Evidence to The Contrary

Background: Not all respondents to surveys apply their minds or understand the posed questions, and as such provide answers which lack coherence, and this threatens the integrity of the research. Casual inspection and limited research of the 10-item Big Five Inventory (BFI-10), included in the dataset of the World Values Survey (WVS), suggested that random responses may be common. Objective: To specify the percentage of cases in the BRI-10 which include incoherent or contradictory responses and to test the extent to which the removal of these cases will improve the quality of the dataset. Method: The WVS data on the BFI-10, measuring the Big Five Personality (B5P), in South Africa (N=3 531), was used. Incoherent or contradictory responses were removed. Then the cases from the cleaned-up dataset were analysed for their theoretical validity. Results: Only 1 612 (45.7%) cases were identified as not including incoherent or contradictory responses. The cleaned-up data did not mirror the B5P- structure, as was envisaged. The test for common method bias was negative. Conclusion: In most cases the responses were incoherent. Cleaning up the data did not improve the psychometric properties of the BFI-10. This raises concerns about the quality of the WVS data, the BFI-10, and the universality of B5P-theory. Given these results, it would be unwise to use the BFI-10 in South Africa. Researchers are alerted to do a proper assessment of the psychometric properties of instruments before they use it, particularly in a cross-cultural setting