1,721,048 research outputs found

    Vorwort zu Das Mädchen vom Goldenen Horn

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    Vorwort zu Das Mädchen vom Goldenen Horn von Umar R. Ehrenfel

    Employee emotional competence and service recovery satisfaction: the mediating role of consumer forgiveness

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    Purpose: Employees' emotional competence (EEC) is gaining increasing attention in service failure and recovery research. This study investigates the mediating role of consumer forgiveness between perceived EEC and recovery satisfaction among casual dining consumers. Additionally, this study examines the effect of perceived EEC on recovery satisfaction across process failure vs outcome failure. Design/methodology/approach: A critical incident technique (CIT) in conjunction with a self-administered online survey was carried out. Using the snowball sampling technique, a total of 204 useable responses were collected. To test the hypotheses, this study used partial least squares structural equation modeling (PLS-SEM). Findings: The study finds that perceived EEC influences service recovery satisfaction. Additionally, the study identifies the mediating role of consumer forgiveness in the relationship between perceived EEC and recovery satisfaction. Multi-group moderation analysis shows that the relationship between perceived EEC and recovery satisfaction is weaker in process failures as compared to outcome failures. Practical implications: Based on obtained results, this study recommends that after service failure consumer forgiveness and subsequent recovery satisfaction can be obtained with perceived EEC. To do so, managers need to incorporate emotional competence while recruiting and training the employees. Moreover, managers need to train employees on failure types and respective recovery strategies. Lastly, the study suggests that in emerging markets managers should pay greater emphasis on process failure, because such failure decreases customer satisfaction greatly than outcome failure. Originality/value: To the authors' knowledge, this is the first study that investigates the impact of perceived EEC on consumer forgiveness which subsequently determines the recovery satisfaction in the emerging markets. It extends the application of the emotional contagion and affect infusion theories by exposing the effect of perceived EEC on recovery satisfaction through consumer forgiveness. In addition, the study provides insights that the influence of perceived ECC on recovery satisfaction significantly varies across service failure types

    Effect of employee emotional competence on customer emotional attachment: the roles of service recovery satisfaction and service failure severity

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    Purpose: This study aims to enhance our understanding of employee emotional competence (EEC) in the context of service failure and recovery. Accordingly, the present study investigates the relationship between perceived EEC and customer emotional attachment (CEA) through the mediating role of service recovery satisfaction (RES). Furthermore, the study examines the moderating impact of service failure severity (SFS) on the relationship between perceived EEC and RES. Design/methodology/approach: A self-administered online survey was carried out to collect data. Using a convenience sampling technique, 195 US consumers were recruited from Prolific Academic. To test the hypotheses, this study employed partial least squares structural equation modeling (PLS-SEM). Findings: According to the analysis, perceived EEC impacts CEA directly and indirectly via RES. Additionally, the study finds that consumers reported feeling more emotionally connected to the restaurant when they were satisfied with service recovery. Finally, the study identified that the connection between perceived EEC and RES increases with service failure severity. Practical implications: This study emphasizes enhancing EEC through organization-wide training to increase customer satisfaction and emotional attachment to the service organization. Furthermore, it underscores the need for comprehensive employee training to categorize service failure severity and formulate appropriate recovery strategies. Originality/value: The authors believe this is the first RES study to examine perceived EEC’s effect on CEA. By combining the affect infusion and cognitive appraisal theories to examine recovery satisfaction, this study contributes to the existing body of research on service recovery by shedding light on the relationship between perceived EEC and CEA. Furthermore, the study offers preliminary findings indicating an increase in the impact of perceived EEC on RES during high failure severity (SFS)

    Modeling the Role of Big Data Analytics Capabilities in Impacting Corporate Environmental Performance: A Serial Mediation Analysis

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    Big data analytical capabilities (BDAC) have emerged as a significant strategic tool for enhancing environmental performance in today's ever-growing green and digital economy. However, the serial process through which BDAC influences environmental performance remains understudied, particularly in multinational corporations (MNCs). Drawing on the dynamic capability view (DCV) and the natural resource-based view (NRBV), this study constructs a serial mediation model to explore the connection between BDAC, ambidextrous green innovation, green competitive advantage, and corporate environmental performance. A cross-sectional survey involving 244 MNCs in Germany was used for the analysis. The data were analyzed using partial least squares structural equation modeling (PLS-SEM). Our findings reveal that the impact of BDAC on environmental performance is sequential, occurring through ambidextrous green innovation and the development of green competitive advantage. Specifically, BDAC leads to ambidextrous green innovation, which in turn drives green competitive advantage and ultimately enhances the environmental performance of MNCs. The theoretical and managerial implications are drawn

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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