Τμήμα Διοικητικής Επιστήμης και Τεχνολογίας

Μόνιμο URI για αυτήν την κοινότηταhttps://pyxida.aueb.gr/handle/123456789/49

Το Τμήμα Διοικητικής Επιστήμης και Τεχνολογίας ιδρύθηκε το 1999 στο πλαίσιο της πολιτικής του Οικονομικού Πανεπιστημίου να συνδέσει τη σύγχρονη διοικητική επιστήμη με τις νέες τεχνολογίες και τις οργανωσιακές σπουδές. Για το λόγο αυτό είναι μοναδικό στην ειδίκευσή του στην Ελλάδα Πανεπιστημιακό Τμήμα. Αποστολή του Τμήματος είναι η διδασκαλία και η έρευνα στους τομείς της διοικητικής επιστήμης που συνδέονται με την τεχνολογία και τις οργανωσιακές σπουδές καθώς και η αξιοποίηση των νέων τεχνολογιών, και ιδιαίτερα της πληροφορικής και των επικοινωνιών, στη χάραξη επιχειρηματικής στρατηγικής, στη λήψη αποφάσεων και στην αναδιοργάνωση των επιχειρηματικών δραστηριοτήτων.Οι σπουδές στο Τμήμα είναι τεχνοκρατικά και πολύ καλά οργανωμένες. Ακόμη, έχουν έντονη διεθνή διάσταση με έμφαση στην έρευνα και την ανάπτυξη νέας γνώσης. Το επιστημονικό προσωπικό του Τμήματος έχει έντονη παρουσία στον ακαδημαϊκό χώρο και υψηλή αναγνωρισιμότητα, Το υψηλό επίπεδο των σπουδών στο Τμήμα τεκμηριώνεται από την ευχέρεια με την οποία οι πτυχιούχοι του συνεχίζουν μεταπτυχιακές σπουδές σε Πανεπιστήμια πρώτης γραμμής του εξωτερικού και από το γεγονός ότι οι διδάκτορες του Τμήματος κάνουν δημοσιεύσεις σε σημαντικά διεθνή περιοδικά, ενώ έχουν ήδη αναλάβει θέσεις ΔΕΠ εντός και εκτός Ελλάδας. Οι πτυχιούχοι του Τμήματος είναι ανταγωνιστικοί ως στελέχη και ως σύμβουλοι σε όλες τις παραδοσιακές ειδικότητες της Διοίκησης Επιχειρήσεων, στο νέο περιβάλλον του Ηλεκτρονικού Επιχειρείν και της Κοινωνίας της Πληροφορίας όπως Διοίκηση Παραγωγής, Χρηματοοικονομικά, Διοίκηση Ανθρωπίνων Πόρων, κ. ά.URL: http://www.dmst.aueb.gr

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Τώρα δείχνει 1 - 4 από 4

Brand equity assessment: A computational model for mining consumer perceptions in social media
(22-06-2017) Pournarakis, Demitrios; Athens University of Economics and Business, Department of Management Science and Technology; Giaglis, George. M.
The proliferation of Big Data & Analytics in recent years has compelled marketing practitioners and business decision-makers to search for new methods for generating insights when faced to measure brand performance during campaign appraisals. Marketers are constantly asked by upper management to justify the impact of online marketing activities in terms of brand performance in the marketing mix. Financial measures such as sales and profit provide partial indicators of brand performance, leading marketers to also turn towards assessment of intangible market based assets such as brand equity. To address this gap, marketers over the past 20 years have introduced various approaches that assess key conceptual dimensions of brand equity from a consumer perspective.Ένα από τα βασικά στοιχεία το οποίο παραδοσιακά έχει πρωταρχικό ρόλο κατά την χάραξη της στρατηγικής μάρκετινγκ είναι η επίδοση που έχουν οι προωθητικές ενέργειες στο καταναλωτικό κοινό. Οικονομικοί δείκτες, όπως οι πωλήσεις και τα κέρδη, προσφέρουν μια μονοδιάστατη εικόνα της αξίας της επωνυμίας, με αποτέλεσμα ο εμπορικός κόσμος να στραφεί επίσης και στην διάσταση του υπολογισμού ενός άυλου αλλά πολύ σημαντικού περιουσιακού στοιχείου, ευρύτερα γνωστό στην βιβλιογραφία ως «καταναλωτική αξία εταιρικής επωνυμίας». Για την αντιμετώπιση αυτού του κενού έχουν εισαχθεί διάφορες προσεγγίσεις τα τελευταία 20 χρόνια, που αξιολογούν βασικές διαστάσεις της αξίας εταιρικής επωνυμίας από τη σκοπιά του καταναλωτή.
Governance of strategic alliances in technology-based Industries: the case of wireless services
Pateli, Adamantia G.; Athens University of Economics and Business, Department of Management Science and Technology; Giaglis, George. M.
This research is concerned with the examination of the mechanism through which decisions on the governance mode of strategic technology alliances are made at the firm level. Strategic alliances constitute a primary implementation means of corporate strategies that aim at innovation development and exploitation, which is considered of high strategic importance for firms in technology-based industries. A special feature of technology-based industries is the rapid rate and the difficulty of forecasting change. Strategic decision making in such environments should assure flexibility and opportunities for future value creation on the one hand, and optimization of resource allocation and cost minimization on the other.More particularly, this research addresses the strategic decision-makers’ dilemma of whether to internalize the transactions with their strategic partners or not, or, in other words, whether to pursue quasi-hierarchy or quasi-market alliances. This dilemma has already been addressed by a number of traditional theoretical perspectives, such as Transaction Cost Economics, the Resource-based, the Dynamic Capabilities, and the Knowledge-based View of the Firm, as well as the Theory of Real Options. We argue in favor of integrating a set of antecedent factors and propositions, sourced from the aforementioned theoretical perspectives, with the ultimate purpose of developing an integrative governance model. This integration is pursued under the concern of investigating the value, along with the resource and the cost, aspects of alliances.The integrative governance model is empirically tested through a survey involving strategic alliances in the wireless business environment. The quantitative data collected are analyzed with the aid of a Structural Equation Modeling (SEM) technique, namely Partial Least Squares (PLS). Moreover, an extreme cases analysis approach, involving qualitative data on two real-world alliances, is applied to confirm and substantiate the quantitative results. The research results provide support for the integration of complementary theoretical perspectives over alliance governance and set the groundwork for the development of a decision-aiding tool helping strategic managers to make up their mind on the alliance governance mode that best aligns with their firm’s corporate strategy.
Perceptions of competitive environment and organizational capabilities as antecedents of firm’s competitive response characteristics and performance: an examination of managerial perceptions on competitive response behavior of the firm and firm performance
Fouskas, Konstantinos; Athens University of Economics and Business, Department of Management Science and Technology; Giaglis, George. M.
The study of competitive actions and reactions has gained attention in strategic management literature over the last two decades. The dominant stream of this research has focused on modeling the behavior of a firm by examining the impact of various measurable and observable characteristics that are expected to systematically influence competitive action and reaction accordingly. However, in this research we take a different approach by associating competitive behaviors with subjective managerial beliefs. We develop a predictive model that examines the effects of both perceptions of competitive environment and organizational characteristics of a firm on key competitive response characteristics to determine whether responding to competitive actions is based on evaluation of environmental threats and opportunities or on assessing the competitive quiver of the firm’s capabilities related to its rivals. Moreover, this research examines the degree to which competitive response characteristics are aligned with competitive environments and organizational capabilities and, in turn, may lead to increased performance. In particular, we study the circumstances under which competitive response characteristics lead to superior performance or failure. Thus, we gain a better insight on the alignment of competitive reactions with the competitive environment characteristics and specific organizational capabilities in order to improve organizational performance. We conducted two studies in order to validate our reseach question. The first study consisted of a survey among 174 firms from manufacturing, trade and service industries in Greece. The second study referred to 23 case studies conducted among firms belonging to the same industry. The results indicate a significant association between perceived industry forces, organizational capabilities, and aspects of the competitive reaction characteristics. Certain aspects of the perceived competitive environment form perceptions that influence specific characteristics of the competitive responses either positively or negatively. This applies for speed, intensity and innovation of competitive responses. Our research indicates that managers do not decode industry characteristics in terms of observable figures, but instead react on rival actions based on the perceptions they shape about the competitive environment and, more specifically, the threat the competitive environment poses for the survival of their firm, especially if they choose not to react. At the same time, perceptions of distinctive firm capabilities also influence specific characteristics of the competitive responses either positively or negatively but not to the same degree. Although their effects are limited (compared to perceptions of the competitive environment) to the speed, intensity and innovation of responses, they pose a significant influence on the breadth of the competitive instruments used for reaction, which seem not to be directly affected by perceptions of the competitive environment. This leads the competitive response research towards an approach of correlating response characteristics to capabilities of the firm related to its rivals, an approach recently adopted by researchers in the field of competitive dynamics Regarding the effect of response characteristics on firm performance, our results indicate that apart from their direct effects on performance, adaptation of these characteristics to the competitive surroundings and alignment with organizational capabilities has resulted in improved performance.
A predictive model for the acceptance of pervasive information systems by individuals
Karaiskos, Dimitris C.; Καραϊσκος, Δημήτρης Χ.; Athens University of Economics and Business, Department of Management Science and Technology; Giaglis, George. M.
Pervasive Information Systems constitute an emerging class in the information systems realm motivated by the pervasive (or ubiquitous) computing paradigm. Pervasive computing promises a technological shift away from the desktop computing paradigm towards more ubiquitous forms of computation presence and use. According to Weiser, who envisioned this computing evolution back in 1991, people and environments will be augmented with computational resources that will provide information and services when and where desired in the most acceptable, easy and pleasant way, like a walk in the woods. Today, we observe that this vision gradually becomes a reality through a multitude of pervasive applications taking their position in various real life settings. Nevertheless, the urgency to rush an individual’s world with the latest and greatest pervasive technology must be tempered with an understanding of whether the technology serves appropriately his needs. In other words, this technological shift raises issues regarding the acceptance of pervasive information systems and hence their success. Picking up on this, the work presented in this thesis follows an approach with the aim to correlate pervasive information systems with technology acceptance theories seeking to comprehend the factors that influence the acceptance of these systems. This research effort is further reinforced by the lack of comprehensive inquiries on the phenomenon on behalf of the research community. In fact our, limited, knowledge of pervasive systems acceptance has been garnered through exploratory studies causing this area to lack of evaluation methodologies and metrics (Scholtz and Consolvo 2004). On the contrary, this dissertation aims at building a basis of empirical knowledge with the goal of identifying how the novelty of pervasive information systems, named as pervasiveness, augments the capabilities of technology acceptance theories to predict the acceptance of pervasive systems. To structure the inquiry, a multi-method research strategy is designed and implemented including mostly quantitative research methods. Our research design is backed up by the construct development methodology, which allows us to define and construct an instrument for measuring pervasiveness, and the relevant research literature on technology acceptance, which allows us to formulate the evaluation framework consisting of both acceptance and pervasiveness factors. Starting from the latter objective, an extended literature review revealed to us the modus operandi of technology acceptance theories, the several categories of factors employed in relevant studies along with the limitations existing and the research directions proposed towards more comprehensive models. Aligning the need of the research community to extend technology acceptance theories in that way to acknowledge technology characteristics and our objective to subsume pervasiveness into these theories we formulate our research framework (depicted in Figure 1), which will be rephrased into the research model in a later stage of this study. Knowing how to approach the inquiry of pervasive information systems acceptance we lack of an instrument that appropriately measures the notion of pervasiveness. Considering that our knowledge is limited regarding the pervasiveness factor, and how to measure it, we refer to construct development methodology which consists of sequential steps towards the production of a robust instrument. These steps include initially a thorough literature review for specifying the conceptual domain of pervasiveness. Through this process we defined pervasiveness as the “extent to which an IS consists of interconnected technological artifacts, diffused in their surrounding environment, working together to ubiquitously supports user tasks and objectives in a context aware manner”. Further on we distinguished three founding technological dimensions of pervasiveness, namely ubiquity, diffusion and context awareness and provided statements characterizing them (depicted in Table 1). Based upon the results of the first phase of construct development and particularly the statements of ubiquity, diffusion and context awareness we proceed to the operationalization of these concepts, i.e. the instrument construction phase. During this phase, each statement in the domain is converted into several items in the instrument resulting in the generation of items from and for all the statements that tap each dimension of pervasiveness. Preliminary items are generated following quality criteria, such as length, clarity, and reading efficiency and phrasing according to the selected format of measurement, which in our case is the Likert scale. Successively, the initial instrument of pervasiveness is reviewed by experts in the area for its content validity, that is whether it measures the content of pervasiveness (Straub et al.2004). In doing so, a pre-test, initially, and an expert survey, subsequentially, were held. The pre-test aim is to reveal deficiencies in the initial instrument regarding its format, content, understand ability, terminology, and ease and speed of completion. Responses from the pretestwere collected and adjustments made to the instrument based on the feedback of the respondents. The updated instrument is used next in the expert survey which has the objective to assess each item regarding its relevancy with the concept intended to measure. Experts on pervasive computing (119 in number) were approached from whom 39 responded (a satisfactory response rate of 32%), while 33 answers were ultimately usable after removing incomplete questionnaires. The gathered data were analyzed using the content validity ratio technique (Lawshe 1975) and provided feedback on which items are content valid, i.e. which items are retained or rejected from the instrument. Furthermore, experts’ comments accentuated the shortcoming of using the word diffusion, for one of pervasiveness’ dimensions, as the same word is used for the adoption of information systems and proposed the use of unobtrusiveness as the alternative (a proposition that we adopted). Table 2summarizes the resultant instrument. Moving forward towards the last phase of construct development we aimed in empirically validating the under development construct and to provide, as a result, a valid scale for pervasiveness. Empirical validation is succeeded by two studies, an exploratory and a confirmatory. The exploratory study has the objective to empirically validate the instrument of pervasiveness considering its construct validity and reliability. For this purpose a survey was conducted where 141 participants were asked to fill in a questionnaire comprised by items from the pervasiveness instrument. The participants’ responses were based on the experience gained from a scenario walk through describing the use of a pervasive information system. Then, the gathered responses were analyzed using exploratory factor analysis (EFA)which provided empirical evidence on both construct validity and reliability. In particular, the EFA results further refined the instrument by deleting 12 more items resulting in an instrument of 18 items in total and provided evidence towards defining the structure of the seitems. The confirmatory study has the objective both to endorse the findings of the exploratory study and to further assess the pervasiveness scale. Particularly, through confirmatory factor analysis (CFA) the factors emerged from the exploratory study are tested again providing results over the discriminant and convergent validity, i.e. construct validity. In parallel, factor reliability through multiple measures is also computed. For gathering the empirical data needed for the confirmatory study, a field study was conducted where 128 participants were asked to use a pervasive information system designed and implemented for the purpose of this study and then fill in a questionnaire comprised by the 18 items from the pervasiveness instrument and items capturing a set of acceptance factors. Our findings from CFA and reliability analysis indicate that 16 items are retained and grouped under three distinct factors, as it was initially hypothesized in the conceptual definition of pervasiveness, namely ubiquity, unobtrusiveness and context awareness (see Table 3). Furthermore, construct validity and reliability points out that the specific items indeed measure the concept of pervasiveness, as initially defined. Nevertheless, CFA findings do not provide evidence regarding their causal relationships with the acceptance factors employed in the study. For this reason, a second round of analyses was held, through multiple regression analysis, to reveal the causal relationships of pervasiveness with dominant acceptance factors, or in statistical terms to validate the nomological network of pervasiveness. The relationships tested are depicted in the research model (Figure 2) which was based upon the research framework formulated earlier and operationalized by adopting robust and valid factors from the technology acceptance literature. Our findings revealed the relationships among the factors of pervasiveness and the acceptance factors. In particular, the three dimensions of pervasiveness were found to directly influence the cognitive and affective factors represented by performance expectancy, effort expectancy and perceived enjoyment. On the other hand, facilitating conditions, represented by perceived monetary value, was found to have very weak (or no) relationship with pervasiveness’ factors. Furthermore, very weak or insignificant effects were proved to exist between social factors(Social Influence and Personal Innovativeness) and pervasiveness factors, as correctly hypothesized. Figure 3 summarizes the aforementioned causal linkage of pervasiveness with acceptance factors, i.e. its nomological network. Moreover, we analyzed our data to investigate the mediating effects in our research model. As it has been hypothesized pervasiveness will influence indirectly the dependent variable(Intention) through mediating variables (Performance Expectancy, Effort Expectancy, Perceived Enjoyment and Perceived Monetary Value). Mediation analysis indicates partial support to this hypothesis as Ubiquity was found to be partially mediated by Performance Expectancy and Effort Expectancy, Unobtrusiveness was found to be fully mediated by Effort Expectancy and Perceived Enjoyment while Context Awareness failed to enter the mediation analysis as its correlation with Intention was not adequate. Figure 4 summarizes the indirect effects of pervasiveness on Intention, concluding this way its nomological network. Finally, we evaluated the overall research model by incorporating in the analysis all the variables. The results of multiple regression analysis indicate that Intention to use the pervasive system is predicted by Social Influence, Personal Innovativeness, Perceived Enjoyment, and Effort Expectancy. On the other hand Performance Expectancy and Perceived Monetary Value were found not to influence Intention. Moreover, Ubiquity has been found to influence directly Intention as a result of the partial mediation discussed earlier. Figure 5summarizes both the direct and indirect effects on Intention. Overall, this study offers three important insights that are of value to the research community. The first theoretical contribution of this research lies in outlining the important technological factors of pervasive information systems and in providing an instrument for robustly assessing them. Our research advances existing scholarly work on pervasive information systems by organizing current knowledge regarding the characteristics of this phenomenon under an instrument intended to provide valid quantitative data for further exploitation in technology acceptance studies. As such, our study paves the way for future endeavors within the same thematic area and informs researchers interested in pervasive information systems on their properties while at the same time it equips similar research essays with an instrument capable to enhance their knowledge on the acceptance of pervasive information systems. The second theoretical contribution of this research lies in the identification of the nomological network of pervasiveness. Our findings contribute to the body of literature concerning how pervasive information systems are perceived by its users and how these perceptions influence their intention to accept them. Pervasiveness’ factors were tested along with dominant technology acceptance factors, formulating a robust framework, an inquiry that supported the hypothesized causal relationships between pervasiveness and usage beliefs. In addition, the analysis moved a step forward towards correlating these causal effects with intention, revealing the hierarchy of causal effects that exist from pervasiveness to intention. Finally, it must be accentuated that our contribution is empirically validated, which was not until now the case in the existing research regarding the predicting factors of pervasive information systems acceptance. Last, the third theoretical contribution of this research effort refers to the practice of research. Research efforts towards explaining the interplay of technological characteristics and usage beliefs under the technology acceptance perspective will grow in numbers as the research community considers it imperative. It is our belief that this research contributes in this effort by producing and following a new research approach, backed up by the robust methodology of construct development. As with all research essays, our work have certain limitations that need to be mentioned. The first limitation directly relates to the specific systemic context within which the research has been carried out. The two systems that were utilized for the exploratory and confirmatory study restrain the generalizability of our findings by introducing a certain amount of bias to the resulting observations. Another limitation stems from the fact that the empirical data were collected through the means of snapshot instead of longitudinal research. Snapshot studies impact the investigation of causality among concepts of interest in that relationships are inferred rather than proven. A third limitation is imposed due to sample particularities and characteristics. These limitations cast a certain amount of ambiguity regarding the extent to which our findings are generalizable and transferable to other pervasive information systems and contexts of use. Nevertheless, they open further research opportunities to a plethora of directions, either methodological or theoretical, that could help overcome the deficiencies of the current study. This research implies a plethora of different research directions, targeting either its theoretical anchors or its methodological framing, and as such, it is hoped that it will stimulate supplementary theory and research. First, it would be stimulating to replicate the study with different pervasive systems. This approach would provide the opportunity to explore the effect of system-specific particularities and contextual conditions on the acceptance of pervasive information systems. Second, it would be interesting to adopt an alternative methodological approach to the one followed in this study to investigate the same research questions regarding the acceptance of pervasive information systems. Longitudinal studies or experimental approaches could extrapolate interesting results and weaken that way the effect of common methods bias in the findings and conclusions of this study. Finally, a third direction for future research could involve elaborating on the inherent characteristics of pervasiveness by pointing the theoretical scope to alternative research contexts, such as usability studies or design inquiries.

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Πλοήγηση Τμήμα Διοικητικής Επιστήμης και Τεχνολογίας ανά Επιβλέπων "Giaglis, George. M."