Purpose Dynamic, volatile, and time-sensitive industries, such as tourism, travel and hospitality require agility and market intelligence to create value and achieve competitive advantage. The aim of the current study is to examine the influence of big data (BD) on the performance of service organizations and to probe for a deeper understanding of implementing BD, based on available technologies. Design/methodology/approach An ethnographic study was conducted following an abductive approach. A primary qualitative research scheme was used with 35 information technology and database professionals participating in five online focus groups of seven participants each. Analytical themes were developed simultaneously with the literature being revisited throughout the study to ultimately create sets of common themes and dimensions. Findings BD can help organizations build agility, especially within dynamic industries, to better predict customer behavioral patterns and make tailor-made propositions from the BD. An integrated BD-specific framework is proposed to address value according to the dimensions of need, value, time and utility. Research limitations/implications Little research exists on the key drivers of BD use for dynamic, real-time and agile businesses. This research adds to the developing literature on BD applications to support organizational decision-making and business performance in the tourism industry. Originality/value This study responds to scholars’ recent calls for more empirical research with contextual understanding of the use of BD to add value in marketing intelligence within business ecosystems. It delineates factors contributing to BD value creation and explores the impacts on the respective service encounters.

This conceptual paper traces the origins and progress of Open Science and proposes its generative coupling to Open Innovation in the contemporary socio-political context; where universities are re-imaging their civic missions in the face of anti-establishment populist politics. This setting is one of changing knowledge production regimes and institutional pressures that create contradictions identifiable through the prism of the series of scientific norms conceptualised by Robert K. Merton. This paper privileges a sociological perspective to proffer scientific knowledge production as a societally embedded process, which is well illustrated by scholarship in the Science and Technology Studies (STS) and Science in Society fields. In doing so, it identifies the co-evolution, co-existence and co-production of Open Science with Open Innovation; and notes how it shares the attributes of other recent diagnoses of changing knowledge production regimes; in particular Mode 2, postnormal science and the Quadruple Helix. It also argues that Open Science can be coupled with Open Innovation to catalyse positive societal change, but that the rise of a populist post-truth era opposed to objectivity, expertise and technocratic political solutions gives the demand for openness and participation a different complexion. Merton's norms provide a useful lens to observe recent shifts in the delivery of science, knowledge and innovation in society towards more inclusive, ethical and sustainable outcomes; and expose the limited reflection on how the appropriation and exploitation of open scientific knowledge encounters industrial R&D and Open Innovation.

With the advent of web analytics, data mining and predictive modeling, businesses have nowadays a better knowledge in creating more efficient and effective processes for meeting customers' needs, driven by a wealth of available information. The value of big data in influencing business intelligence in the tourism and hospitality industry has also been widely acknowledged, as the synergetic utilization of big data can enhance organizations' decision support systems to reach process optimization. Notwithstanding empirical research on exploring the implications of utilizing big data in the tourism sector has been published in the last few years, there is still need of a framework that would serve as the bedrock of taking the relevant conceptualization one step forward. Therefore, this chapter demonstrates the crucial role of big data in matching organizational objectives with tourist needs through delineating and detailing the analytical frameworks to support an advanced B2C interface, based on various internal databases and external data sources. The role of stakeholders and necessary resources are explained, and the full potential of big data in tourism and hospitality is revealed.

Innovation Capability and Organisational Performance Main Conclusion: Our empirical investigation shows that in the service firm context innovation capability influences both the financial and non-financial performance.

As organizations increasingly view information as one of their most valuable assets, which supports the creation and distribution of their products and services, information security will be an integral part of the design and operation of organizational business processes. Yet, risks associated with cyber attacks are on the rise. Organizations that are subjected to attacks can suffer significant reputational damage as well as loss of information and knowledge. As a consequence, effective leadership is cited as a critical factor for ensuring corporate level attention for information security. However, there is a lack of empirical understanding as to the roles strategic leaders play in shaping and supporting the cyber security strategy. This study seeks to address this gap in the literature by focusing on how senior leaders support the cyber security strategy. The authors conducted a series of exploratory interviews with leaders in the positions of Chief Information Officer, Chief Security Information Officer, and Chief Technology Officer. The findings revealed that leaders are engaged in both transitional, where the focus is on improving governance and integration, and transformational support, which involves fostering a new cultural mindset for cyber resiliency and the development of an ecosystem approach to security thinking.