197,830 research outputs found

    eWOM & Referrals in Social Network Services

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    If a few decades ago the development of the Internet was instrumental in the interconnection between markets, nowadays the services provided by Web 2.0, such as social network sites (SNS) are the cutting edge. A proof of this trend is the exponential growth of social network users. The main objective of this work is to explore the mechanisms that promote the transmission and reception (WOM and referrals) of online opinions, in the context of the SNS, by buyers of travel services. The research includes some research lines: technology acceptance model (TAM), Social Identification Theory and Word-of-Mouth communication in virtual environment (eWOM). Based on these theories an explicative model has been proposed applying SEM analysis to a sample of SNS users’ of tourist service buyers. The results support the majority of the hypotheses and some relevant practical and theoretical implications have been pointed out for tourist managers

    Managing Customer Services: Human Resource Practices, Turnover, and Sales Growth

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    This study examines the relationship between human resource practices, employee quit rates, and organizational performance by drawing on a unique nationally representative sample of 354 customer service and sales establishments in the telecommunications industry. Multivariate analyses show that quit rates are lower and sales growth is higher in establishments that emphasize high skills, employee participation in decision-making and in teams, and HR incentives such as high relative pay and employment security. Quit rates partially mediate the relationship between human resource practices and sales growth. These relationships also are moderated by the customer segment that frontline employees serve

    El reto de vincular reputación online de destinos turísticos con competitividad

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    The aim of this study is to evidence how 2.0 conversations in social media impact the reputation of destinations. Additionally, the influence of co-creation practices is analysed. The five most competitive destinations worldwide have been chosen for the research. This paper demonstrates that monitoring social media is a challenge in tourism and is a strategic tool to support process decision making and for destination brand building in a sustainable way. Currently, there are several monitoring and analytic tools, but there is a lack of models to systematise and harness it for the Destination Management Organization (DMOs). In conclusion, how tourists play the main role in the competitiveness of Destinations with their experiences and opinions are considered, along with some keys for successful management of social media are given in the view of the results.info:eu-repo/semantics/publishedVersio

    The Effects Of Human Resource Management Practices (Hrm) On Service Innovation In Malaysian Islamic Banks

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    Objektif kajian ini adalah untuk mengkaji kesan amalan sumber manusia pada inovasi perkhidmatan dalam konteks bank-bank Islam dan secara praktik kajian ini meneliti tiga dimensi amalan HRM: pampasan, prestasi penilaian dan penyertaan. The objective of this study is to examine the effect of human resource practices on service innovation in the context of Islamic banks. This study examines three dimensions of HRM practices: compensation, performance appraisal and participation

    Designing Scalable Business Models

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    Digital business models are often designed for rapid growth, and some relatively young companies have indeed achieved global scale. However despite the visibility and importance of this phenomenon, analysis of scale and scalability remains underdeveloped in management literature. When it is addressed, analysis of this phenomenon is often over-influenced by arguments about economies of scale in production and distribution. To redress this omission, this paper draws on economic, organization and technology management literature to provide a detailed examination of the sources of scaling in digital businesses. We propose three mechanisms by which digital business models attempt to gain scale: engaging both non- paying users and paying customers; organizing customer engagement to allow self- customization; and orchestrating networked value chains, such as platforms or multi-sided business models. Scaling conditions are discussed, and propositions developed and illustrated with examples of big data entrepreneurial firms

    The Impact of Cognitive versus Affective Aspects on Consumer Usage of Financial Service Delivery Channels

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    This paper explores the consumer decision-making process when using service delivery channels. Among service delivery channels, the main focus of the research concerns technology-based delivery channels. Technology continues to change the delivery function of companies and to affect customers’ usage decisions regarding the delivery channels available. Understanding how customers react to the technology-content of channels and decide how to use the delivery channels of the firm is a key asset for achieving profitability and differentiation. This conclusion is particularly valuable as firms address the financial impact of new technology-based channels and their success in transferring low value-added transactions to electronic channels. Despite the development of new technology-based delivery channels, there is limited knowledge about how customers react to, choose and use these channels. The paper addresses this research void by developing a model that describes customers’ attitudes and usage frequency behavior in the context of banking delivery channels. A set of hypotheses concerning affective and cognitive determinants of consumers’ behavior is derived from the model. These hypotheses were generated after extensive research into the fields of services marketing, psychology and innovation theories, together with insights provided by a series of in-depth interviews conducted with bank managers and customers. A questionnaire was mailed to users of the four main bank delivery channels. The findings demonstrate that consumer decision concerning usage frequency differs between delivery channels, and illustrate which factors should be stressed in order to affect this decision.
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