Fotis Kitsios

Bio: Fotis Kitsios is an academic researcher from University of Macedonia. The author has contributed to research in topics: Information system & Computer science. The author has an hindex of 15, co-authored 88 publications receiving 760 citations. Previous affiliations of Fotis Kitsios include Hellenic Open University & Technical University of Crete.

New service development in e‐government: identifying critical success factors

Abstract: Purpose – The purpose of this paper is to suggest a model that incorporates critical factors contributing to the success in new service development (NSD) projects in electronic government (e‐government).Design/methodology/approach – After a brief introduction to e‐government and NSD in respect to models for successful implementation, the authors justify and build on the existing literature that advocates the use of critical success factors (CSFs) to study the implementation of these projects. They suggest a model that incorporates the determinants of success or failure for a new service through a set of variables.Findings – This paper proposes a framework, which is believed to help with the empirical research of CSF in NSD. The suggested framework attempts to bring experience in leadership and coordination of work theory and practice together by synthesising the existing literature with real‐life experience.Research limitations/implications – The paper contributes to the e‐government implementation litera...

Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda

Abstract: In the past decade, current literature and businesses have drawn attention to Artificial Intelligence (AI) tools and in particular to the advances in machine learning techniques. Nevertheless, while the AI technology offers great potential to solve difficulties, challenges remain implicated in practical implementation and lack of expertise in the strategic usage of AI to create business value. This paper aims to implement a systematic literature review analyzing convergence of the AI and corporate strategy and develop a theoretical model incorporating issues based on the existing research in this field. Eighty-one peer-reviewed articles were discussed on the basis of research methodology from Webster and Watson (2002). In addition to gaps in future research, a theoretical model is developed, discussing the four sources of value creation: AI and Machine Learning in organizations; alignment of AI tools and Information Technology (IT) with organizational strategy; AI, knowledge management and decision-making process; and AI, service innovation and value. These outcomes lead to both theoretical and managerial viewpoints, with extensive possibilities to generate new methods and types of management practices.

Corporate Sustainability Strategies and Decision Support Methods: A Bibliometric Analysis

Abstract: Sustainability is becoming an increasing issue for decision-makers and scholars worldwide and many managers understand the significance of the strategic approach of corporate sustainability. However, they face difficulties in aligning sustainable development and strategic management as well as to implement it in practice. Thus, the purpose of this paper is to conduct a bibliometric analysis exploring the integration of strategic management, decision-making and corporate sustainability, providing a framework of interrelated issues according to the current literature in this area. 72 peer-reviewed papers were analyzed based on Webster’s and Watson’s (2002) methodology. The results of this review revealed that the number of publications in this domain has increased in the last decade, and there is a need to foster research (especially empirical) in this field because managers should find out ways to implement, in action, corporate sustainability strategies and integrate their action plans with their business strategy. This review concludes with a framework that includes the most commonly addressed issues of this topic and provides opportunities and challenges for further research.

Business strategy modelling based on enterprise architecture: a state of the art review

Abstract: Enterprise architecture (EA) is a means of a high level of abstraction of a business’ levels which helps organise planning and taking better decisions. Evidence has shown that the scope of EA is not restricted to technology planning, but the lack of business strategy and processes is the most common problem of EA frameworks. Consequently, a challenge stems from the fact that the formulation of strategy should not be modelled separately but as a holistic approach. The purpose of this paper is to evaluate the contemporary problems in existing EA modelling frameworks concerning the optimisation of business strategy concepts and to identify areas for improvement.,Studies were spotted using a three phased literature review methodology which was suggested by Webster and Watson (2002).,Although, previous studies have attempted to use tools and models to visualise the technological business planning, limited previous study has focussed on modelling strategic planning. Due to issues concerning the lack of guidelines for modelling business strategy, a holistic approach is needed to be made.,The paper contributes to the existing literature by assessing the current EA modelling languages and their skilfulness to modelling strategy. Moreover, it contributes to the determination of difficulties in modelling, as well as to the examination of ease of use of language in the context of strategy. Second, this paper provides an overview to practitioners who would like to develop effective EA modelling projects, as well as to architects who try to solve the problems of business complexity.

Multivariate Data Analysis With Readings

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The impact of online user reviews on hotel room sales [Summary]

Abstract: Despite hospitality and tourism researchers’ recent attempts on examining different aspects of online word-of-mouth [WOM], its impact on hotel sales remains largely unknown in the existing literature. To fill this void, we conduct a study to empirically investigate the impact of online consumer-generated reviews on hotel room sales. Utilizing data collected from the largest travel website in China, we develop a fixed effect log-linear regression model to assess the influence of online reviews on the number of hotel room bookings. Our results indicate a significant relationship between online consumer reviews and business performance of hotels.

The impact of entrepreneurship education in higher education: A systematic review and research agenda

Abstract: Using a teaching model framework, we systematically review empirical evidence on the impact of entrepreneurship education (EE) in higher education on a range of learning outcomes, analysing 159 published articles from 2004-2016. The teaching model framework allows us for the first time to start rigorously examining relationships between pedagogical methods and specific outcomes. Re-confirming past reviews and meta-analyses, we find that EE impact research still predominantly focuses on short-term and subjective outcome measures and tends to severely under-describe the actual pedagogies being tested. Moreover, we use our review to provide an up-to-date and empirically rooted call for less obvious, yet greatly promising, new or underemphasised directions for future research on the impact of university-based entrepreneurship education. This includes, for example, the use of novel impact indicators related to emotion and mindset, focus on the impact indicators related to the intention-to-behaviour transition, and explore the reasons for some of the contradictory findings in impact studies including person-, context- and pedagogical model-specific moderators.

A global perspective on domestic energy deprivation: Overcoming the energy poverty-fuel poverty binary

Abstract: This paper offers an integrated conceptual framework for the research and amelioration of energy deprivation in the home. It starts from the premise that all forms of energy and fuel poverty – in developed and developing countries alike – are underpinned by a common condition: the inability to attain a socially and materially necessitated level of domestic energy services. We consider the functionings provided by energy demand in the residential domain in order to advance two claims: first, that domestic energy deprivation in its different guises and forms is fundamentally tied to the ineffective operation of the socio-technical pathways that allow for the fulfilment of household energy needs, and as such is best analyzed by understanding the constitution of different energy services (heating, lighting, etc.) in the home. Second, we emphasize the ability of vulnerability thinking to encapsulate the driving forces of domestic energy deprivation via a comprehensive analytical matrix. The paper identifies the main components and implications of energy service and vulnerability approaches as they relate to domestic energy deprivation across the world.