Reviewing customer value literature: Comparing and contrasting customer values perspectives

Purpose: The paper provides a comprehensive and up-to-date literature review of customer value concepts and distinguishes complex customer value from the various perspectives. It structures the themes and dimensions between the various approaches along the customer value main lines in the literature. Design/methodology/approach: The paper reviews current literature and illustrates different types of value representations through a case example. Findings: Based on a comprehensive literature review, a framework how to scholars can structure customer value constructs is presented. Originality/value: In business and management research a conceptual confusion prevails and this paper attempts to clarify different types of customer value to provide a better resolution tool for scholars.Peer Reviewe

Resources in academic discourse: An empirical investigation of management journals

Commonly shared conceptualizations of resources are scant in academic management research which strikes as somewhat peculiar since resources and their allocation thereof have long been recognised to be at the heart of the competitive advantage and performance of a firm. The research literature considering resources as basis for competitive advantages has further faced contemporary criticism for the vagueness of the fundamental definition of the resource concept. Therefore, this paper empirically studies the representation of resource concept in academic management research literature. The paper reports results on the state of conceptualisations of organisations’ resources found in two distinct sources of research literature, namely ScienceDirect’s database and ISI’s top management journals, resulting in two data sets of a total of 457 articles. The findings illustrate the two-dimensional conceptual farrago in the conceptualisations; on the definitions of the resource concept itself and on the internal structure and the level of analysis when the concept is considered. In addition, the paper sheds light on the temporal evolution of the discourse explicitly considering resources. Finally, the paper considers several remedies for these deficiencies in order both to aid future theory development in management studies and to help increase the practical impact of the research in assisting managerial decision-makingPeer Reviewe

Business Model Frameworks in IoT Context -- A Literature Review

Employing the Internet of Things (IoT) in business changes the way in which value is offered to customers. To enable and ensure effective value exchange, proper business models are required. In this literature review study (n=56), business model frameworks created for the IoT context were evaluated. The results show that although most of the frameworks emphasize the ecosystemic nature of IoT, even they still largely do not describe the connections, dynamics, and causality between the business model components. While IoT as such does not necessarily need a specific business model, the ecosystemic nature of IoT is bound to influence the business model, thus making IoT business models more integrative, inter-relational, and complex. The results also suggest that the ecosystem-level co-creation of business models needs to be emphasized and studied further

A Study of the Deployment of Open Source Software – Finnish Experiences from Public and Private Sector

The software development has become even more complicated for IT-companies and users of software. The rising popularity of open source in all areas of software development and usage is resulting in a need to evaluate more options in software procurement than before. This paper highlights some of the recent international and domestic research on open source deployment and gives some recommendations as to what official stand Finland should take

Sources of value in application ecosystems

Mobile application stores have revolutionised the dynamics of mobile ecosystems. Research onmobile application ecosystems has been significantly driven by data that is focused on the visualisation of an ecosystem's dynamics. This is a valuable step towards understanding the nature of the ecosystems, but it is limited in its explanatory power. Thus, a theory-driven approach is needed to understand the overall dynamics of such systems. This study applies a theoretical framework of value creation in e-business in the context of mobile application ecosystems, with a focus on application developers. A qualitative research strategy is employed in testing operationalisationina sample of developers. The sample comprises 27 application developers from the three leading mobile application ecosystems. The results show that efficiency is the main source of value, products seldom create value through complementarities, and approaches towards lock-in and novelty seem to vary among application developers. The managerial and theoretical implications of such biased value creation in mobile ecosystems are considered. </div

Visualizing the Maturing Global API Ecosystem

Platform boundary resources are prominent digital strategy tools for companies to disclose business assets to partners and consumers. However, the platform boundary resources of API ecosystems are dependent on API usage and characteristics as well as the social environment around them. This study focuses on the global API ecosystem guided by two assumptions: 1) geographic proximity is distorted, and the global API ecosystem is decentralized in a digitally connected world, and 2) open co-innovation is somewhat prone to geographic nearness and centralized. A data-driven network analysis was utilized to depict the global and regional geolocation of more than 22,000 APIs and 6,000 mashups. First, the global locations of API providers were examined. Next, the connectivity of API mashups at global and regional levels was studied. The findings suggest that APIs are distributed globally, and the API ecosystem has moved from emerging to mature; however, the distribution is skewed towards entrepreneurial regions in North America. Finally, the theoretical and managerial implications are discussed

Unpacking task-technology fit to explore the business value of big data analytics

Understanding how the application of big data analytics (BDA) generates business value is a persistent challenge in information systems (IS) research. Improving understanding of how BDA realizes business value requires unpacking theories to study the phenomenon. This study unpacks the task-technology fit (TTF) theory toward generating new and improved insights into the business value of BDA. Extant studies on TTF have mainly focused on traditional IT which is different from digital technologies like BDA that are malleable and dynamic. While TTF has primarily focused on how the technology meets task requirements, this study contends that tasks can also be structured to fit the functionality of technology. This study proposes a 2 × 2 matrix framework to explain how BDA and tasks interact. The framework indicates how the reconfigurability of tasks and the editability of BDA impact the fit between tasks and BDA. Future research should explore how the fit between tasks and BDA changes over time.publishedVersionPeer reviewe

Business model diversification through Product-Service Systems: Demand-relatedness perspective

Non peer reviewe