Vardaxoglou G.,Athens Information Technology |
Baralou E.,ALBA Graduate Business School
Procedia Computer Science | Year: 2012
In this paper, we draw on open innovation paradigms and Activity Theory to describe how a research organization operates and manages the development of a platform for serious gaming. In particular, we focus our efforts on the relationships formed within the research organization and across the gaming community, and consider whether open innovation practices followed. While open innovation has been explored considerably in relation to its business value and its wide application in gaming, what misses in the literature is a micro-analysis of why and how it occurs through discursive activities. The paper addresses this gap in the literature by offering an understanding of how dialogues develop between individuals that have never developed a gaming platform before neither do they have a working history on this specific field. Discourse analysis is performed to study the initial interactions of actors with each other and the mediating tools they have at their disposal until they manage to develop a platform for serious games which will then attract contributions from the gaming community. The case study provides an instructive example of the innovation process and shows that the innovation process can be comprehensively examined as a shared activity. Addressing the scope of the conference, the paper suggests that Activity Theory, a multi-disciplinary approach, can support organizations and entrepreneurs in developing an effective design strategy for serious applications of games and virtual world technologies and thus addressing the challenges raised by the shift towards immersive world applications. © 2012 The Authors. Published by Elsevier B.V.
Eftekhar M.,Arizona State University |
Robotis A.,ALBA Graduate Business School |
Van Wassenhove L.N.,INSEAD
Production and Operations Management | Year: 2014
This article aims to identify optimal vehicle procurement policies for organizations engaged in humanitarian development programs and to derive general insights on the characteristics of these policies. Toward that end, we follow an inductive approach. First, we study the operations of the International Committee of the Red Cross (ICRC) in three representative countries: Sudan, Afghanistan, and Ethiopia. Using a linear programming (LP) model primed with field data provided by the ICRC, we calculate the optimal vehicle fleet size and compare it with the policies actually implemented. Second, drawing from results of the LP model, we develop a stylized quadratic control model and use it to characterize the general structure of the optimal policy under different demand scenarios and operational constraints. After demonstrating that the results of the control model are consistent with those of the LP model in the specific context analyzed, we discuss the optimal policies and the applicability of the former as a practical tool for strategic asset planning. © 2013 Production and Operations Management Society.
Avramidis P.,ALBA Graduate Business School
Journal of Nonparametric Statistics | Year: 2016
Modelling volatility in the form of conditional variance function has been a popular method mainly due to its application in financial risk management. Among others, we distinguish the parametric GARCH models and the nonparametric local polynomial approximation using weighted least squares or gaussian likelihood function. We introduce an alternative likelihood estimate of conditional variance and we show that substitution of the error density with its estimate yields similar asymptotic properties, that is, the proposed estimate is adaptive to the error distribution. Theoretical comparison with existing estimates reveals substantial gains in efficiency, especially if error distribution has fatter tails than Gaussian distribution. Simulated data confirm the theoretical findings while an empirical example demonstrates the gains of the proposed estimate. © 2015, © American Statistical Association and Taylor & Francis 2015.
Kavussanos M.G.,Athens University of Economics and Business |
Visvikis I.D.,ALBA Graduate Business School |
Dimitrakopoulos D.N.,ALBA Graduate Business School
3rd International Symposium on Ship Operations, Management and Economics 2011 | Year: 2011
The investigation of the degree and the way that new information is transmitted between different markets has always been of interest in the financial literature. Most of the previous studies investigate volatility spillover effects between spot markets of the same asset class or between derivatives and their underlying spot markets. This study investigates the return and volatility spillover effects between freight forward markets and commodity futures markets of commodities transported by ocean going vessels. Results, which are uncovered for the first time to such extent and for several different freight derivatives markets, show that there are spillover relationships of high significance between the derivatives markets. The signaling role of such interrelations is of great economic value to market participants engaged in these markets, as it enables them to construct investment and hedging strategies and to understand how information is transferred between these markets.
Gounaris S.,University of Strathclyde |
Koritos C.D.,ALBA Graduate Business School
Journal of Product Innovation Management | Year: 2012
The purpose of this research is to examine the possibility of distinguishing between adopters and nonadopters when conceptualizing the drivers of the decision to adopt technologically based innovations. A second research objective is to examine factorial validity through the assessment of the explanatory power of the investigated conceptualization. In the pursuit of these objectives, the theory of bounded rationality represents the underlying theoretical framework, and Internet banking (IB) represents the nomological framework, in which two alternative conceptualizations, one for IB adopters and a second for nonadopters, are considered. "Intention to adopt" and "adoption" are the criterion variables, respectively. To meet the objectives of the study, two different populations are examined: adopters of IB and nonadopters. The former was used to examine the hypothesized framework for predictive validity against actual adoption; the latter was used to examine the predictive validity regarding intention to adopt. To collect data from IB adopters, the four leading banks, which account for approximately 73% of adopters, agreed to place a link to a Web-based questionnaire at the log-in page of their IB system inviting customers to participate in the study. Through this process, 858 useable questionnaires were produced. To reach the nonadopters population, a convenience sample of executive M.B.A. students from two leading Greek universities was employed. Respondents from this sample were screened to ensure that they had never used IB. This process yielded 418 useable questionnaires from the nonadopters population. A major finding from this investigation is that the decision to adopt improves the understanding of adopters regarding the benefits delivered by an innovation. Consequently, they hold a precise, less ambiguous perception of how specific innovation attributes translate into benefits. Hence, when recalling the decision process through which they adopted an innovation, adopters relate specific innovation attributes, including specific benefits received. This situation is displayed in the ability of a direct, first-order model to capture the relationships between specific innovation attributes and the adoption decision. In contrast, nonadopters, having no direct experience with the innovation, lack this familiarity. They require a significantly greater amount of information in order to associate innovation attributes with potential benefits. The intangibility of technologically based service innovation further increases a nonadopter's need for information. However, this increased need for information renders nonadopters subject to cognitive strain, which causes them to aggregate innovation attributes into more abstract constructs. That aggregation was displayed in the ability of a second-order model to capture the relationships between specific innovation attributes and the nonadopters' intention to adopt the innovation in the future. In both occasions though, the instrumental drivers of adoption represent the most powerful explicators of the adoption decision. From a practitioner's perspective, this study shows that managers can structure the content of their communication to facilitate the rise of societal drivers, but they should avoid relying on such elements to quicken the pace of the adoption rate. Rather, at the core of communication campaigns, practitioners should place brief and clear claims demonstrating the instrumental arguments in favor of the adoption decision. © 2012 Product Development & Management Association.
Lekakos G.,Athens University of Economics and Business |
Vlachos P.,ALBA Graduate Business School |
Koritos C.,ALBA Graduate Business School
Ethics and Information Technology | Year: 2014
There is an emerging consensus in the corporate social responsibility (CSR) literature suggesting that the quest for the so-called business case for CSR should be abandoned. In the same vein, several researchers have suggested that future research should start examining not whether, but rather when CSR is likely to have strengthened, weakened or even nullified effects on organizational outcomes (e.g. Margolis et al. in Does it pay to be good? A meta-analysis and redirection of research on corporate social and financial performance. Working Paper, Harvard Business School, 2007; Kiron et al. in MIT Sloan Manag Rev 53(2):69-74, 2012). Using perspectives from several theoretical frameworks (Needs Theory, Technology Acceptance Theory, and Psychological Distance Theory), we contribute to the literature by empirically examining the tension between functional and sustainability attributes in a novel context, namely that of green e-banking services. The findings indicate that the positive effect of CSR on users' attitudes towards green e-banking services is moderated by two primarily utilitarian information systems factors-namely perceived ease of use and perceived usefulness-and an important utilitarian individual difference variable-namely perceived self-efficacy with technology. Our findings are also important if interpreted within the context of the ethical decision-making literature (e.g. O'Fallon and Butterfield in J Bus Ethics 59(4):375-413, 2005), as they indicate that the linkage between moral judgment and moral outcomes is unlikely to be that straightforward. © 2014 Springer Science+Business Media Dordrecht.
Kyriakopoulos K.,ALBA Graduate Business School
Organization Studies | Year: 2011
Though improvisation has emerged as a crucial organizational competence, research wrestles with a key question - how can organizations benefit from improvisation? To advance research, I build a richer conceptualization of the role of knowledge resources - market information sources and memory types - in improvisation. I argue that as (a) internal and external sources of market information differ in speed and novelty and (b) procedural and declarative memory differ in articulation and abstractness, they shape the impact of improvisation on new product outcomes in a distinct way. A longitudinal survey of new products in the Dutch food industry uncovers that, contrary to prior thinking, improvisation increases cost efficiency when new product teams rely on internal market information and declarative memory and they minimize external market information. Though both sources of market information and low procedural memory weaken the negative impact of improvisation on market effectiveness, these conditions were not enough to make its impact positive, echoing traditional concerns with improvisation. © The Author(s) 2011.