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692 research outputs found
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Cross-border mergers and acquisitions: Impact on marketing capability and firm performance
No full textInternational audienceEmerging country firms have been increasingly engaging in cross-border mergers and acquisitions, and these acquirers predominantly acquire firms from developed countries. The motivation for such acquisitions is to achieve market access but also to benefit from transfers of cross-border managerial skills and knowledge. The performance of such acquisitions has started to receive some research attention, particularly financial performance, but the transfers to other areas such as marketing have not yet been explored. This article addresses this gap by studying the experience of 34 acquirers from emerging countries which acquired firms in developed countries. This study uses two-stage window data envelopment analysis (DEA) and Tobit regression to investigate the impact of these acquisitions on the marketing capability and overall firm performance of the acquiring firms. The results show that the marketing capability of the acquiring firms did improve in the post-merger years and this improvement can be partly attributed to the acquisition. The findings also show that the overall performance of the acquiring firms improved following acquisition, but this is a continuation of superior performance from the pre-merger years rather than a synergistic gain from the acquisitions
A two-phase sequential approach to design bioenergy supply chains under uncertainty and social concerns
No full textInternational audienceThe use of renewable energies has become very attractive, because it protects the environment and boosts regional development. In this paper, a sustainable two-phase sequential approach is proposed for the design of bioenergy SCs under uncertainties. The first phase, integrating geographical information, social aspects, and multi-criteria decision-making techniques, helps find appropriate locations for the bio-refineries. High rates of unemployment, and high vulnerability to the variation in the markets in an economic crisis are considered as social concerns. Integrating these factors filters the areas for the second phase. The first phase reduces complexity in the computation of the problem, and helps set up sustainable development in the supply chain. In the second phase, to cope with the uncertainties in the bioenergy supply network, a robust model is introduced. It reduces the sensitivity to inaccurate input data, and the obtained solutions stay optimal when the parameters change slightly. In order to validate this two-phase sequential approach, a case study is investigated. The results of tests show that integrating the concepts of uncertainties and sustainability with geographical information of the area in a two-phase sequential approach outperforms the traditional models, and leads to the creation of 262 jobs. The jobs have a high impact on the surrounding area
Digital-free tourism intention: a technostress perspective
No full textInternational audienceDigital-free tourism limits tourists’ access to information and communication technologies during vacation. It is an emerging trend but tourists’ motivation to take digital-free tourism has not been fully understood. Anchoring on technostress literature, this study examines the effects of the exhaustion from workplace information technology and off-work social network services on tourists’ intention to take digital-free tourism. Survey data involving 300 full-time working individuals show that both techno-exhaustion and social-network-services-exhaustion have positive impacts on tourists’ digital-free tourism intentions. It contributes to the literature by introducing technostress related constructs in understanding tourists’ digital-free tourism intentions
Can Bitcoin Be an Inflation Hedge? Evidence from a Quantile-on-Quantile Model
No full textInternational audienceIn this study we quantify and analyze the dynamic dependence between US, eurozone, UK and Japan Bitcoin market returns and realized and unexpected inflation, conditional on different market states and various nuances of inflation. Using a Quantile-on-Quantile regression, we investigate the hedging properties of Bitcoin against inflation, thereby offering a fresh look at the return-inflation puzzle from the point of view of alternative investments. We find that while bullish UK, Euro and Japanese Bitcoin markets facilitate hedging against inflation by offering higher returns, the USD Bitcoin market performs worse with inflation. In general, our results indicate an asymmetric relationship between inflation, both realized and unexpected, and alternative investments such as the Bitcoin market
An efficient branch and bound algorithm for smoothing the workloads on simple assembly lines
No full textInternational audienceIn this study, we develop a branch and bound solution algorithm to solve the workload smoothing problem. Our algorithm incorporates new formulas for dynamically computing a lower bound on the optimal value of the objective function and for determining the earliest workstations for tasks. It also uses a fast heuristic for computing a good initial upper bound. A comprehensive experimental analysis is conducted in this study. The analysis demonstrates the outstanding performance of the algorithm and its efficiency in solving medium-sized workload smoothing problems
Does Advertising Productivity Affect Organizational Performance? Impact of Market Conditions
No full textInternational audienceAdvertising is crucial in influencing customers’ perceptions and purchase intentions, and numerous studies have investigated whether advertising expenditure has any significant impact on financial performance. A thorough understanding remains elusive: while several studies document a positive impact, others report that advertising has either a negative or a statistically insignificant effect. Three flaws among existing studies are responsible for this problem: bundling advertising with other forms of marketing, the inadequacy of expenditure as a measure and a failure to consider contingencies. Deviating from earlier studies, we examine the effect of advertising productivity on firm performance rather than the impact of the absolute amount of advertising expenditure. Moreover, adopting a contingency approach, we evaluate how market conditions of market dynamism, market complexity and market munificence moderate the relationship between advertising productivity and organizational performance. Drawing a multi-industry sample from the USA, this study demonstrates that advertising productivity has a positive impact on capital market-based performance measures, conditional on market conditions. We reveal new insights into when, why and to what extent advertising contributes (or not) to organizations’ financial performance
The psychology of frustration: Appraisals, outcomes, and service recovery
No full textInternational audienceThis study fills a gap in the consumer emotions literature regarding customer frustration in a customer service setting. Most research on customer emotions has examined anger, happiness or affect in general, largely ignoring the particularities of frustration. Consistent with appraisal theory, we use five experiments to explore the different appraisal dimensions that define frustration and its relation to customer loyalty and satisfaction. Contrary to common belief, we show that frustration is not simply the result of goal-blocking, but rather of a more complex combination of appraisals which differentiate it from anger and lead to distinct effects on satisfaction and loyalty. We also examine how the effects of frustration on loyalty and satisfaction are mitigated by service recovery in a further experiment and an event reconstructive method. Our results test appraisal theory, inform theory on customer emotions and have important implications for our understanding of customer satisfaction and loyalty following frustrating customer service encounters
Consumer response to service brand physical elements: Using a semantic priming task to explore implicit understanding of service brand meaning
No full textInternational audienceConsumers' responses to design features involve both conscious and non-conscious information processing. The current research therefore argues that a combination of explicit and implicit measures should be used to assess consumer understanding of service brand meaning conveyed by a service brand's physical elements. However, most methods traditionally used to evaluate design meaning are explicit methods, based on conscious cognitive processes. The current research addresses this gap by documenting how understanding of service brand meaning conveyed by a service brand's physical elements can be tapped by an implicit measure. More specifically, it aims to investigate the extent to which a greater ability to decode meaning conveyed by design features results in differences in implicit understanding of service brand meaning. This research uses a Semantic Priming Task to assess associative strength between brand meaning and a service brand's physical elements. Results (N = 157) show that command of the design language, captured by design acumen and involvement in the product category, results in greater ability to implicitly understand brand meaning conveyed by a service brand's physical elements, and moderates the implicit-explicit relationship. Results suggest that combining implicit and explicit measures may help practitioners in charge of creating brand's physical elements, especially when associations between design types and brand impressions are not constant across product categories
Quality evaluation model of artificial intelligence service for startups
No full textInternational audienceThis paper aims to develop a quality evaluation model for artificial intelligence (AI)-based products/services that is applicable to startups utilizing AI technology. Although AI-based service has risen dramatically and replaced many service offerings, in reality, startups are rarely to develop and evaluate AI services. The features of AI service are fundamentally different from the properties of existing services and have a great influence on the customer's service selection. This paper reviews startups' development process, existing quality evaluation models and characteristics of services utilizing AI technology, and develops a quality evaluation model for AI-based services. A detailed analysis of a survey (application of the model) on customer satisfaction for AI speakers is provided. Findings This paper provides seven key features and 24 evaluation items for evaluating AI-based services. This paper contributes to the growing need for methodologies that reflect the new era of AI-based products/services in quality evaluation research
Ten Years On: CSR Motivations and Engagements in French Managers’ Perceptions 2007-2017
No full textInternational audienceWe investigate how managers in French companies report their engagements and motivations regarding corporate social responsibility (CSR) in 2007 and 2017. We conducted and analysed 14 in-depth structured interviews with managers in 2007 and again in 2017. Thematic analysis shows that in 2007, managers focused on instrumental motivations for CSR, citing economically driven artefacts and pro-environmental efforts. In 2017, most managers reported increased and reinforced environmental and social engagements with a parallel shift in the expression of their motivations; seeing CSR as a responsibility to society and future generations, or as a normal, natural activity.Investigamos cómo los gerentes de las empresas francesas se expresan sobre sus compromisos y motivaciones en la responsabilidad social corporativa (RSC) en 2007 y 2017. Realizamos y analizamos 14 entrevistas con gerentes en 2007 y nuevamente en 2017. El análisis temático muestra que, en 2007, los gerentes se enfocaron en motivaciones instrumentales, citando artefactos impulsados económicamente y esfuerzos proambientales. En 2017, la mayoría de los gerentes reportaron compromisos ambientales y sociales incrementados y reforzados, con un cambio paralelo en la expresión de sus motivaciones; ver la RSC como una responsabilidad normal con la sociedad y las generaciones futuras.Nous étudions la manière dont les managers des entreprises françaises rendent compte de leurs engagements et de leurs motivations en matière de responsabilité sociale d’entreprise (RSE) en 2007 et 2017. Nous avons réalisé et analysé 14 entretiens structurés approfondis avec des managers en 2007 et à nouveau en 2017. L’analyse thématique montre qu’en 2007, les managers citent les motivations instrumentales, citant des artefacts économiques et des efforts pro-environnementaux. En 2017, ils citent des engagements environnementaux et sociaux accrus et renforcés; percevant la RSE comme une responsabilité envers la société et les générations futures, ou comme une activité « normale »