The impact of non-technological innovation on technical innovation: do services differ from manufacturing? An empirical analysis of Luxembourg firms

Generally speaking, the support of technological innovation has been viewed in terms of input such as R&D and instruments such as legal protection. The literature on innovation highlights the interactive nature of the innovation process in which non-technological activities are essential. However, few works have taken into account the role of other innovative strategies such as marketing and organisational innovation, a role which may differ according to whether the firm is involved in manufacturing or in services. The purpose of this paper is to contribute to fill this gap by highlighting the effects of non-technological innovation strategies on technological innovation. For the empirical work, we used firm-level data drawn from the Community Innovation Survey 2006 for Luxembourg. Our results show that the effects of non-technological innovations differ depending on the phase of the innovation process. Marketing and organisational innovations significantly increase the likelihood of innovation, but not the commercial success of innovation. The study also shows the differentiated effects of the two types of non-technological innovation in manufacturing and service, and confirms the key role of organisational innovation for services.CIS; Innovation; Marketing; Organisation; Technological Innovation

The Team Balancing Act - Enhancing Knowledge - Building Activity in On-Line Learning Communities

Online learning in the university sector is a given. Constructivist views of learning (often team based) and the notion of knowledge-building, mediated through the use of ICTs seemingly address many of the imperatives to equip individuals for emergent knowledge-age work practice. While teamwork has many perceived advantages, teams also inexplicably fail despite the apparent quality of the participants. Teams are successful when members address what is a relatively narrow range of actions. However, even within this limited range of actions individuals demonstrate definite preferences towards certain activities and roles. This paper reports on the findings from a study that investigated if knowledge-building activity can be enhanced in tertiary education CSCL environments through the use of groups balanced by Team Role Preference (Margerison & McCann, 1995, 1998). The study found that higher quality knowledge-building activity was more likely to occur in balanced groups than in random groups. The analysis of data revealed that a diversity of ideas was more likely to emerge from within balanced groups than from within random groups particularly when the random groups were heavily skewed towards one team role preference. This provided a compelling reason for explaining why balanced groups may lead to better knowledge-building activity

Teaching operations management using a 'pseudo'-scientific approach

The purpose of this paper is to explore a theory led approach to teaching operations and supply chain management that has emerged from the analysis of seminal operations management developments and case research. This research identified common operations construct relationships encompassing variation, uncertainty, buffering mechanisms and trade-offs which are used to provide a common basis for explaining these developments, linking established theory with current professional practice. The construct relationships are further shown to comprise three distinct but coordinated strategies that provide a useful framework for case evaluatio

A System for Deduction-based Formal Verification of Workflow-oriented Software Models

The work concerns formal verification of workflow-oriented software models using deductive approach. The formal correctness of a model's behaviour is considered. Manually building logical specifications, which are considered as a set of temporal logic formulas, seems to be the significant obstacle for an inexperienced user when applying the deductive approach. A system, and its architecture, for the deduction-based verification of workflow-oriented models is proposed. The process of inference is based on the semantic tableaux method which has some advantages when compared to traditional deduction strategies. The algorithm for an automatic generation of logical specifications is proposed. The generation procedure is based on the predefined workflow patterns for BPMN, which is a standard and dominant notation for the modeling of business processes. The main idea for the approach is to consider patterns, defined in terms of temporal logic,as a kind of (logical) primitives which enable the transformation of models to temporal logic formulas constituting a logical specification. Automation of the generation process is crucial for bridging the gap between intuitiveness of the deductive reasoning and the difficulty of its practical application in the case when logical specifications are built manually. This approach has gone some way towards supporting, hopefully enhancing our understanding of, the deduction-based formal verification of workflow-oriented models.Comment: International Journal of Applied Mathematics and Computer Scienc

Strategy management through quantitative modelling of performance measurement systems

This paper is based on previous works on performance measurement and on quantification of relationships between factors which affect performance. It demonstrates how tools and techniques developed can be used to evaluate the performance of alternative strategic choices through a quantitative approach to modelling of performance measurement systems. The paper provides a brief background to the research problem and preceding works. The tools and techniques used are briefly introduced. Use of these tools and techniques to evaluate the performance of alternative manufacturing strategies is demonstrated. Finally, the capability of the approach to deal with dynamic environments is demonstrated using sensitivity analysis

Mechatronics & the cloud

Conventionally, the engineering design process has assumed that the design team is able to exercise control over all elements of the design, either directly or indirectly in the case of sub-systems through their specifications. The introduction of Cyber-Physical Systems (CPS) and the Internet of Things (IoT) means that a design team’s ability to have control over all elements of a system is no longer the case, particularly as the actual system configuration may well be being dynamically reconfigured in real-time according to user (and vendor) context and need. Additionally, the integration of the Internet of Things with elements of Big Data means that information becomes a commodity to be autonomously traded by and between systems, again according to context and need, all of which has implications for the privacy of system users. The paper therefore considers the relationship between mechatronics and cloud-basedtechnologies in relation to issues such as the distribution of functionality and user privacy

The impact of science and technology parks on firms´ product innovation: empirical evidence from Spain

Science and Technology Parks (STP) are one of the most important and extensive innovation policy initiatives introduced in recent years. This work evaluates the impact of STP on firm product innovation in the Spanish context. Spain is less developed than most of the advanced countries, and regional and national governments are prioritizing STP initiatives. The large firm sample for our study is from the Spanish Technological Innovation Survey, provided by the National Statistical Institute. We focus on average treatment effects for firms located in 22 Spanish STP. Our results show that Spanish STP have a strong and positive impact on the probability and amount of product innovation achieved by STP located firms. These results hold for different assumptions about the mechanisms underlying location in a STP.Science and Technology Parks; product innovation; treatment effects; regional development policies.

Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales

Predicting the class of a customer profile is a key task in marketing, which enables businesses to approach the right customer with the right product at the right time through the right channel to satisfy the customer's evolving needs. However, due to costs, privacy and/or data protection, only the business' owned transactional data is typically available for constructing customer profiles. Predicting the class of customer profiles based on such data is challenging, as the data tends to be very large, heavily sparse and highly skewed. We present a new approach that is designed to efficiently and accurately handle the multi-class classification of customer profiles built using sparse and skewed transactional data. Our approach first bins the customer profiles on the basis of the number of items transacted. The discovered bins are then partitioned and prototypes within each of the discovered bins selected to build the multi-class classifier models. The results obtained from using four multi-class classifiers on real-world transactional data from the food sales domain consistently show the critical numbers of items at which the predictive performance of customer profiles can be substantially improved

High Performance HR Practices And Customer Satisfaction: Employee Process Mechanisms

This research examined organizational commitment and customer focus as mediators between HR practices and customer satisfaction of seventy-one work units from twenty-five business units from a single firm in the food service industry. Customer satisfaction was assessed by ratings from multiple customers eighteen months after HR practices and process mechanisms were assessed from unique groups of employee respondents. Results suggest that employee commitment and customer focus partially mediate the relationship between HR practices and customer satisfaction