Call for Papers: Sepcial Issue on “Data-Driven Business Models”

Posted on Nov 15, 2019


                   Special Issue on “Data-Driven Business Models”

This Special Issue of International Journal of Business and Management aims at encouraging scholars to explore the role of Big Data and Smart Technologies in business and decision-making processes.

Big Data is a very hot topic, a buzzword in contemporary research and in scholars’ communities worldwide (from information management, computer science, to management, marketing and service research). The proper integration of big data analysis into business process can help firms to understand how to compete in the hypercompetitive 4.0 Industry.

In the current interconnected world, the huge amount of data available across business activities, operations, strategies and decisions has changed inevitably the configuration of markets.

For the first time, organizations are able to transform raw data into information and valuable knowledge promptly, in a rapid manner that was unimaginable in the past years. In this way, the ability to undertake effective decisions is strengthened according to the adoption and diffusion of a data-based orientation.  

The empirical implications of the new paradigm lead to the emergence of and new business models that are shaping and widening gradually the interpretation of concepts such as strategies, decisions, innovation, entrepreneurship and value.

Even if business model seems not to be a brand new concept in contemporary management, its strategic definition can represent a key asset for organizations that want to apply and put this paradigmatic transformation in practice to increase value generation and innovation.

In the last developments introduced in management research, business models are understood strategically according to a network view that considers the relationships as the main enabling factors of value creation and value co-creation as critical factors enabling innovation.

The consideration of business models as complex processes aimed at defining the most suitable strategic drivers to foster innovation leads to the introduction of Business model innovation (BMI,) which marks the shift towards the study of the “way in which” companies can manage the change and no longer on the simple content of the strategies.

In extant research on service marketing, companies are reinterpreted as service systems of interconnected inter- and inter-organizational interactions and relationships that, mediated through technology, can enable the co-creation of value. In particular, strongly focused on the key role of technology as a lever for co-creation and innovation are smart service systems, proposed within Service Science, and Service ecosystems, introduced in Service- dominant logic.

However, despite the proposition of different frameworks designed to interpret how firms can create value in the digital era, there is the need to grasp the way in which the data flows that surround businesses’ life can be optimized. There is the necessity for a clear understanding on how the possibilities offered from ICTs (information and communication technologies), smart technologies, analytics and Internet of Thing (Iot) can be turned into advantages to avoid the risk of transforming them into threats.

In this sense, companies need to adopt an orientation aimed at investigating stakeholders’ expectations and behaviors, relationships opportunities and/or insights for the enhancement of product and service quality thanks to the data integration across the multiple technological channels available. Therefore, there is the urgent need to understand how new technologies can redefine business strategies and operations, decision-making processes, enable value and knowledge generation and encourage opportunities for innovation.

Indeed, Big data requires technical, managerial, human, cultural, methodological skills to be managed and optimized properly and to foster sustainable value co-creation. These enabling dimensions, ranging from management and strategic abilities to knowledge and softs kills, and their effective management require further investigation.

So, what is the disrupting impact of Big Data on business models? Is there a link between Big data, value generation and innovation? Which are the main implications of a data-driven orientation for business models redefinition? Which are the main drivers to pursue innovation in data-driven business models?

To address these questions, we invite researchers and practitioners to send their original contributions in order to encourage the growth of these complex and fascinating topics, to advance theory and practice according to an interdisciplinary approach. Studies on all related fields are welcoming, including economics, management, operation research, engineering, design, marketing, social sciences, computer science, organization theory and so on.  

We seek high quality original contributions on the analysis of the impact of digitalization and big data on the following topics:

Data-driven orientation and decision-making

  • Data-driven orientation for big data analysis and analytics implementation;
  • Challenges of the adoption of data-driven strategies for IT infrastructure, data collection and governance, data integration and sharing;
  • Implications of data-driven approach for business process and operations;
  • Integration of Big data lifecycle and value chain (data generation, data acquisition, data storage, and data analysis) into decision-making;
  • Strategic drivers and key dimensions for the enhancement of decisions through cognitive computing and/or decision support systems and/or fuzzy logic;
  • Benefits of data-driven approach for management and marketing decision-making and/or B2B marketing strategies:
  • The integration between data-driven decision making and CRM and e-CRM in B2B marketing

Data-driven Business models

  • How data-driven decision-making redefines Business models and its key dimensions;
  • The impact of data-driven decision making on supply chain management and retailing;
  • The categorization of big data tools and analytics for a proper implementation of data-driven decision making;
  • The redefinition business models across data-driven and multi-channel/omni-channel strategies;
  • The strategic levers for data-driven redefinition of Business Model Innovation (BMI) and/or Sustainable Business Model Innovation (SBMI).

Data-driven decision-making & Smart service systems

  • The conceptualization of Data-driven and value based service systems;
  • Value creation in data-driven Smart Service Systems;
  • Value co-creation and innovation in data-driven Smart Service Systems;
  • Sustainable generation of value and/or co-evolution in data-driven Smart Service Systems;
  • Value co-creation and sustainable value co-creation in data-driven eco-systems.

Data-based Knowledge management and co-creation

  • Knowledge management, knowledge creation and generation in data-driven companies;
  • The differences, similarities and potential transition from technology innovation and/or market innovation to Data-driven innovation;
  • The conceptualization of data-driven innovation;
  • The impact of data-driven orientation on knowledge co-creation;
  • Information management and decision support systems in data-driven companies.
     

Data-driven innovation & sustainable innovation

  • Challenges and opportunity of complexity in data-driven companies;
  • IT solutions enabling sustainable innovation in data-driven companies;
  • Service design and engineering for sustainable co-creation and/or innovation in data-driven companies;
  • Big data and information technologies to foster market evolution and sustainable innovation;
  • Strategic planning and data-driven business models for sustainable value co-creation and innovation.

Guest Editors

Dr. Orlando Troisi  otroisi@unisa.it

Dr. Mara Grimaldi  margrimaldi@unisa.it

Keywords

  • Data-driven decision-making
  • Technology & Information management
  • Knowledge management
  • Business models
  • Value Creation
  • Innovation

Guest Editors

Dr Orlando Troisi, University of Salerno, Italy

Orlando Troisi is Research Fellow in Economics and Business management at the “Department of Business Science - Management & Innovation Systems”, University of Salerno. He is delegate for branding and merchandising at University of Salerno.

His research interests cover Services marketing and management, Strategic management and Public management. He is reviewer of numerous international journals and he has presented numerous works at national and international conferences.

Dr Mara Grimaldi, University of Salerno, Italy 

Mara Grimaldi is Phd in Marketing and Communication at Salerno University, Italy, at Business sciences and management and innovation systems (DISA-MIS). She is actually studying service research with particular focus on value co-creation and on the relationship between environmental and experiential dimension of consumption and consumer behaviour.