Global organization of innovation processes


Management International

été 2015, vol. 19, n°4, pp.112-120

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

In this article, we first present a brief over-view of the historical evolution of global innovation in multinational firms. We then outline four components and challenges facing firms that are evolving towards global innovation. Next, we focus on the beginning and end phases of the innovation process: their inception and their diffusion. We show that the stakes related to inception tend to sustain internationalization but induce ever more complex innovation diffusion. In the conclusion, we present open issues and questions that merit further attention and research by the academic community working at the intersection of innovation management and international management.

How Schlumberger Achieved Networked Information Leadership by Transitioning to a Product-Platform Software Architecture


MIS Quarterly Executive

septembre 2015, vol. 14, n°3, pp.105-124

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

To sustain its competitive position as the leader in providing information solutions to the oil and gas industry, Schlumberger transitioned to a cutting-edge product-platform software architecture by embedding a leading geological modeling software product—Petrel—within Ocean, its collaborative open software platform. The practices it used to overcome the challenges of the transition give rise to three principles that can be leveraged by other companies

Impacts of adaptive collaboration on demand forecasting accuracy of different product categories throughout the product life cycle


Supply Chain Management: An International Journal

2015, vol. 20, n°4, pp.415-433

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : Supply chain collaboration, Supply chain strategy, Demand forecasting accuracy

This paper aims to empirically analyze how adaptive collaboration in supply chain management impacts demand forecast accuracy in short life-cycle products, depending on collaboration intensity, product life-cycle stage, retailer type and product category.Design/methodology/approach – The authors assembled a data set of forecasts and sales of 169 still-camera models, made by the same manufacturer and sold by three different retailers in France over five years. Collaboration intensity, coded by collaborative planning forecasting and replenishment level, was used to analyze the main effects and specific interaction effects of all variables using ANOVA and ordered feature evaluation analysis (OFEA).Findings – The findings lend empirical support to the long-standing assumption that supply chain collaboration intensity increases demand forecast accuracy and that product maturation also increases forecast accuracy even in short life-cycle products. Furthermore, the findings show that it is particularly the lack of collaboration that causes negative effects on forecast accuracy, while positive interaction effects are only found for life cycle stage and product category.Practical implications – Investment in adaptive supply chain collaboration is shown to increase demand forecast accuracy. However, the choice of collaboration intensity should account for life cycle stage, retailer type and product category.Originality/value – This paper provides empirical support for the adaptive collaboration concept, exploring not only the actual benefits but also the way it is achieved in the context of innovative products with short life cycles. The authors used a real-world data set and pushed its statistical analysis to a new level of detail using OFEA

Innovating for the future: charting the innovation agenda for firms in developing countries


Journal of Indian Business Resarch

2015, vol. 7, n°4, pp.314 - 320

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : Developing countries, Augmented, Developed countries, Good-enough, Innovation strategy, Jugaad

Purpose– The purpose of this paper is to identify the four principles for firms in developing countries to enhance and augment their innovation agenda for staying competitive. With increasing globalization, firms need to continually calibrate and realign their innovation strategies to remain competitive. Although many firms in the developed countries are making sustained efforts to adopt the developing world perspective on innovation, similar efforts by firms in developing countries to reorient their innovation strategies to the developed world are minimal. In the long run, this might erode the competitiveness of firms in developing countries. Leveraging the global innovation strategy framework, the paper suggests four principles that can help developing country firms transition from a local to a global innovation strategy. Specifically, the paper exhorts developing country firms to move from a “good-enough” innovation approach to an “augmented” innovation philosophy that aims to serve the latent needs of the users. The four principles suggested for the developing country firms to further their innovation agenda are: invest in research; learn to fail; be patient; and alliance and acquire.Design/methodology/approach– The paper uses prior literature and frameworks to identify the four principles that firms in developing countries should follow for furthering their innovation agenda with a view to becoming global in their approach.Findings– The four principles suggested for the developing country firms to further their innovation agenda are: invest in research; learn to fail; be patient; and alliance and acquire.Originality/value– The paper identifies the four principles for firms in developing countries to enhance and augment their innovation agenda for staying competitive.

Leading Collaboration in Online Communities


MIS Quarterly

juin 2015, vol. 39, n°2, pp.393-412

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Despite the growing importance of online communities in creating knowledge and facilitating collaboration, there has been limited research examining the role of leaders in such settings. In this paper, we propose a framework that integrates behavioral and structural approaches to explore the antecedents of leadership in online communities focused on knowledge work. Specifically, we propose that sociability and knowledge contribution behaviors as well as structural social capital lead to being identified as a leader by members of the online community. We test this framework using social network, survey, and message-level content analysis data collected from three different online communities focused on technical topics. The results from our zero inflated negative binomial models, with 6,709 messages from 976 individuals, provide strong support for the framework that is developed in this study. Our study contributes to both theory and practice by identifying the behavioral and structural antecedents of leadership in online communities

Research on information systems failures and successes: Status update and future directions


Information Systems Frontiers

février 2015, vol. 17, n°1, pp.143-157

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : IS success, IS failure, IS implementation, Work systems, Technochange, Change management

Information systems success and failure are among the most prominent streams in IS research. Explanations of why some IS fulfill their expectations, whereas others fail, arecomplex and multi-factorial. Despite the efforts to understand the underlying factors, the IS failure rate remains stubbornly high. A Panel session was held at the IFIP Working Group 8.6 conference in Bangalore in 2013 which forms the subject of this Special Issue. Its aim was to reflect on the need for new perspectives and research directions, to provide insights and further guidance for managers on factors enabling IS successand avoiding IS failure. Several key issues emerged, such as the need to study problems from multiple perspectives, to move beyond narrow considerations of the IT artifact, and to venture into underexplored organizational contexts, such as the public sector

SAfeDJ: A Crowd-Cloud Codesign Approach to Situation-Aware Music Delivery for Drivers


ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)

octobre 2015, vol. 12, n°1

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : Smartphones, Context, Crowdsensing, Driving, Cloud, Music mood

Driving is an integral part of our everyday lives, but it is also a time when people are uniquely vulnerable. Previous research has demonstrated that not only does listening to suitable music while driving not impair driving performance, but it could lead to an improved mood and a more relaxed body state, which could improve driving performance and promote safe driving significantly. In this article, we propose SAfeDJ, a smartphone-based situation-aware music recommendation system, which is designed to turn driving into a safe and enjoyable experience. SAfeDJ aims at helping drivers to diminish fatigue and negative emotion. Its design is based on novel interactive methods, which enable in-car smartphones to orchestrate multiple sources of sensing data and the drivers' social context, in collaboration with cloud computing to form a seamless crowdsensing solution. This solution enables different smartphones to collaboratively recommend preferable music to drivers according to each driver's specific situations in an automated and intelligent manner. Practical experiments of SAfeDJ have proved its effectiveness in music-mood analysis, and mood-fatigue detections of drivers with reasonable computation and communication overheads on smartphones. Also, our user studies have demonstrated that SAfeDJ helps to decrease fatigue degree and negative mood degree of drivers by 49.09% and 36.35%, respectively, compared to traditional smartphone-based music player under similar driving situations.

Technostress creators and job outcomes: theorising the moderating influence of personality traits


Information Systems Journal

july 2015, vol. 25, n°4, pp.355-401

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : Technostress creators, Personality, Transactional model of stress and coping, Eustress, Job burnout, Job engagement

Although prior research has examined the influence of technostress creators on job outcomes, insights into the influence of personality traits on the perceptions of technostress creators and their consequent impacts on job outcomes are rather limited. Such insights would enable a deeper understanding about the effects of individual differences on salient job-related outcomes. In this research, by leveraging the distinctions in personality traits offered by the big five personality traits in the five-factor model and grounding the research in the transactional model of stress and coping, we theorise the moderating influence of personality traits on the relationships between technostress creators and job outcomes, namely job burnout and job engagement. Specifically, the study theorises the mechanisms through which each of the specific personality traits openness-to-experience, neuroticism, agreeableness, conscientiousness and extraversion interacts with technostress creators to differently influence job burnout and job engagement. We test the proposed model in a field study based on a survey of senior organisational managers who regularly use information and communication technologies for executing professional tasks. Although technostress creators are generally associated with negative job outcomes, our results also show that for individuals with certain personality traits, technostress creators may result in positive job outcomes. The study thus contributes to the technostress literature, specifically by incorporating the salient role of individual differences. The study also provides insights for managers who should pay special attention to allocating specific job roles to employees with particular personality traits in order to optimise job-related outcomes

The information technology workforce: A review and assessment of voluntary turnover research


Information Systems Frontiers

avril 2015, vol. 17, n°2, pp.387-411

Départements : Information Systems and Operations Management

Mots clés : Information technology workforce, Information systems workforce, IT professionals, IT employees, IT workers, Voluntary turnover research, Literature review

Despite the numerous studies on the topic of IT employee turnover and recommendations to organizations on how to retain their employees, the general turnover trend of IT professionals remains high. The need for further research on IT turnover has been called for by many, but much of the literature continues to conduct similar studies using the same constructs, and these studies find similar results. Now is the time to turn our research attention to directions that have been unexplored or less explored. Newer research directions for the IT turnover literature will provide insights for refining and easing the impact of turnover on organizations. As we embark on new research frontiers in the IT turnover phenomenon, a comprehensive review and assessment of the state of the literature may facilitate future research in building off of existing knowledge. This paper reviews and assesses the existing literature on the voluntary turnover of IT employees, identifies the areas where research has matured, and raises directions for future research that are less chartered

Time series properties of the renewable energy diffusion process: Implications for energy policy design and assessment


Renewable & Sustainable Energy Reviews

décembre 2015, vol. 52, pp.1680-1692

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : Unit root, Cross-sectional dependence, Renewable energy diffusions, Renewable energy policies

Confronted by increasingly tight budgets and a broad range of alternative options, policy makers need empirical methods to evaluate the effectiveness of policies aimed at supporting the diffusion of renewable energy sources (RES). Rigorous empirical studies of renewable energy policy effectiveness have typically relied on panel data models to identify the most effective mechanisms. A common characteristic of some of these studies, which has important econometric implications, is that they assume that the contribution of RES to total electricity generation will be stationary around a mean. This paper reviews such assumptions and rigorously tests the time series properties of the contribution of RES in the energy mix for the presence of a unit root. To that end, we use both individual and panel unit root tests to determine whether the series exhibit non-stationary behavior at the country level as well as for the panel as a whole. The analysis, applied to a panel of 19 OECD countries over the period 1990-2012, provides strong evidence that the time series of the renewable share of electricity output are not stationary in 17 of the 19 countries examined. This finding has important implications for energy policy assessment and energy policy making, which are discussed in the paper