Examining multinational corporations R&D subsidiaries embeddedness in multiple networks of knowledge

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This research study elaborates on one of the most important features of the modern International Business (IB) area; the multinational R&D subsidiary. Taking into consideration the strategic importance and the particular role the R&D subsidiary plays, this study sheds light on the multiple forms of knowledge networks in which the R&D subsidiary is embedded. Accordingly, based on the two already known dichotomies of subsidiary knowledge networks (external home vs. external host and external host vs. internal) this thesis draws on the existing theory and empirical evidence and proposes a triangular view (i.e. external home, external host and internal) between the R&D subsidiary and its embeddedness within the surrounding knowledge networks. Accordingly, based on three major theories of the management in the IB area, Social Network Theory (SNT), Resource Dependency Theory (RDT) and Agency Theory (AT), this study provides answers on a number of under researched questions. First, what are the determinants of each type of R&D subsidiary embeddedness in each of the three available knowledge networks? Second, considering the relative costs influencing R&D subsidiaries to rely more or less on one form of embeddedness compared to another, what sort of relationship exists (i.e. complementary or substitutive) between the aforementioned forms of R&D subsidiary embeddedness? Finally, considering the contextual- and HQ-specific factors that impact the overall functioning of the R&D subsidiary, what sort of effect do the multiple forms of R&D subsidiary embeddedness have on the latter’s innovative performance? This study adopts a quantitative approach and employs appropriate econometric methods in order to provide answers to the aforementioned research questions. Furthermore, data from three different sources are amalgamated. First, a unique survey questionnaire is utilised. This instrument was originally developed in the University of Reading and corresponds to both subsidiaries and the HQ. The sample covers Fortune 500 Multinational Enterprises (MNEs). Second, and in order to augment the information derived from the survey, supplementary information on patent characteristics is sourced from the United States Patent and Trademark Office (USPTO) database. Third, a range of aggregate-level (secondary) data enriches the existing dataset. The findings reveal that each form of R&D subsidiary embeddedness is determined by a set of different predictors. Precisely, it is found that host location’s macroeconomic uncertainty positively influences subsidiary’s embeddedness in the home location’s knowledge network. Being an R&D subsidiary and having an adaptation and support-oriented profile, as well as being highly centralised to the HQ, negatively influences the R&D subsidiary’s embeddedness in the host location’s knowledge network. On the other hand, having a more research intensive and internationally integrated R&D role positively influences the R&D subsidiary’s embeddedness in the internal knowledge network of the MNE. The findings also indicate that a complementary relationship exists between external home and external host, as well as among external host and internal knowledge networks. On the contrary, a substitutive relationship is indicated between external home and internal networks under which the R&D subsidiary is embedded. Finally, as regards the last research question the results indicate that only internal embeddedness has a positive and significant impact on innovative performance, while scientific and research endowment of the host locations is also found to positively influence the innovative output of the R&D subsidiary. Implications for academics and practitioners (both managers and policy makers) are widely discussed and suggest that the three-dimensional view of embeddedness is useful in understanding and explaining the way MNEs’ foreign R&D subsidiaries operate.CEIBIEM previous Director Professor Francesco Moscone who agreed to provide financial aid for Postgraduate Certificate in Econometrics at Birkbeck College. Brunel Business School for awarding full studentship

Exploiting Parallelism for Hard Problems in Abstract Argumentation

Abstract argumentation framework (AF) is a unifying framework able to encompass a variety of nonmonotonic reasoning approaches, logic programming and computational argumentation. Yet, efficient approaches for most of the decision and enumeration problems associated to AF s are missing, thus potentially limiting the efficacy of argumentation-based approaches in real domains. In this paper, we present an algorithm for enumerating the preferred extensions of abstract argumentation frameworks which exploits parallel computation. To this purpose, the SCC-recursive semantics definition schema is adopted, where extensions are defined at the level of specific sub-frameworks. The algorithm shows significant performance improvements in large frameworks, in terms of number of solutions found and speedup

Answer Set Programming for Qualitative Spatio-Temporal Reasoning: Methods and Experiments

We study the translation of reasoning problems involving qualitative spatio-temporal calculi into answer set programming (ASP). We present various alternative transformations and provide a qualitative comparison among them. An implementation of these transformations is provided by a tool that transforms problem instances specified in the language of the Generic Qualitative Reasoner (GQR) into ASP problems. Finally, we report on an experimental analysis of solving consistency problems for Allen\u27s Interval Algebra and the Region Connection Calculus with eight base relations (RCC-8)

Representing time and space for the semantic web

Representation of temporal and spatial information for the Semantic Web often involves qualitative defined information (i.e., information described using natural language terms such as "before" or "overlaps") since precise dates or coordinates are not always available. This work proposes several temporal representations for time points and intervals and spatial topological representations in ontologies by means of OWL properties and reasoning rules in SWRL. All representations are fully compliant with existing Semantic Web standards and W3C recommendations. Although qualitative representations for temporal interval and point relations and spatial topological relations exist, this is the first work proposing representations combining qualitative and quantitative information for the Semantic Web. In addition to this, several existing and proposed approaches are compared using different reasoners and experimental results are presented in detail. The proposed approach is applied to topological relations (RCC5 and RCC8) supporting both qualitative and quantitative (i.e., using coordinates) spatial relations. Experimental results illustrate that reasoning performance differs greatly between different representations and reasoners. To the best of our knowledge, this is the first such experimental evaluation of both qualitative and quantitative Semantic Web temporal and spatial representations. In addition to the above, querying performance using SPARQL is evaluated. Evaluation results demonstrate that extracting qualitative relations from quantitative representations using reasoning rules and querying qualitative relations instead of directly querying quantitative representations increases performance at query time

Added distance, entry mode choice, and the moderating effect of experience: The case of British MNEs in emerging markets

We argue that a Developed Market Multinational Enterprise’s (DMNE) decision regarding the mode of entry in an Emerging Market (EM) will be affected by the geographic and administrative distance between the locations in which the MNE has previously held operations. Drawing our arguments on the Transaction Costs Economics (TCE) and Internalization Theory we propose that for low and high geographic and administrative distance, DMNEs will opt to enter EMs via a wholly owned subsidiary (WOS), while for moderate levels of distance via a joint venture (JV). Furthermore, we argue that DMNE’s previous international experience in EMs will have a positive effect on the suggested U-shaped relationship, alleviating the negative effects associated with the coordination and knowledge dissipation costs incurred due to the level of distance. We test our hypotheses against a dataset composed of 316 entries of FTSE 250 British MNEs in 39 EMs over the period 1971 – 2010. The results provide support for the U-shaped relationship, and partial support for the moderating effect of international experience

Modal Logic S5 Satisfiability in Answer Set Programming

Modal logic S5 has attracted significant attention and has led to several practical applications, owing to its simplified approach to dealing with nesting modal operators. Efficient implementations for evaluating satisfiability of S5 formulas commonly rely on Skolemisation to convert them into propositional logic formulas, essentially by introducing copies of propositional atoms for each set of interpretations (possible worlds). This approach is simple, but often results into large formulas that are too difficult to process, and therefore more parsimonious constructions are required. In this work, we propose to use Answer Set Programming for implementing such constructions, and in particular for identifying the propositional atoms that are relevant in every world by means of a reachability relation. The proposed encodings are designed to take advantage of other properties such as entailment relations of subformulas rooted by modal operators. An empirical assessment of the proposed encodings shows that the reachability relation is very effective and leads to comparable performance to a state-of-the-art S5 solver based on SAT, while entailment relations are possibly too expensive to reason about and may result in overhead.</p

Answer Set Programming for Qualitative Spatio-temporal Reasoning: Methods and Experiments

We study the translation of reasoning problems involving qualitative spatio-temporal calculi into answer set programming (ASP). We present various alternative transformations and provide a qualitative comparison among them. An implementation of these transformations is provided by a tool that transforms problem instances specified in the language of the Generic Qualitative Reasoner (GQR) into ASP problems. Finally, we report on an experimental analysis of solving consistency problems for Allen’s Interval Algebra and the Region Connection Calculus with eight base relations (RCC-8)

A Case of Recurrent Schneiderian Papilloma of the Lacrimal Sac Invading the Nasal Cavity

A 44-year-old man presented with a history of chronic epiphora, discharge from the right eye, and a palpable mass in the medial canthal area. Irrigation of the lacrimal system revealed bloody discharge. Orbital magnetic resonance imaging (MRI) showed a well-defined heterogeneous enhanced mass filling the lacrimal sac and upper nasolacrimal duct (NLD). A wide excision and surgical biopsy were performed. Histopathology showed the tumor to be an exophytic Schneiderian papilloma with moderate to severe dysplasia. Three months later, the mass was found to be invading the nasal cavity through the NLD. Endoscopic histopathological evaluation confirmed that it was identical to the originally identified papilloma