789 resultados para customer satisfaction


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It is recognized that, in general, the performance of construction projects does not meet optimal expectations. One aspect of this is the performance of each participant, which is interdependent and makes a significance impact on overall project outcomes. Of these, the client is traditionally the owner of the project, the architect or engineer is engaged as the lead designer and a contractor is selected to construct the facilities. Generally, the performance of the participants is gauged by considering three main factors, namely time, cost and quality. As the level of satisfaction is a subjective measurement, it is rarely used in the performance evaluation of construction work. Recently, various approaches to the measurement of satisfaction have been made in attempting to determine the performance of construction project outcomes – for instance client satisfaction, consultant satisfaction, contractor satisfaction, customer satisfaction and home buyer satisfaction. These not only identify the performance of the construction project, but are also used to improve and maintain relationships. In addition, these assessments are necessary for continuous improvement and enhanced cooperation between participants. The measurement of satisfaction levels primarily involves expectations and perceptions. An expectation can be regarded as a comparison standard of different needs, motives and beliefs, while a perception is a subjective interpretation that is influenced by moods, experiences and values. This suggests that the disparity between perceptions and expectations may be used to represent different levels of satisfaction. However, this concept is rather new and in need of further investigation. This paper examines the current methods commonly practiced in measuring satisfaction level and the advantages of promoting these methods. The results provided are a preliminary review of the advantages of satisfaction measurement in the construction industry and recommendations are made concerning the most appropriate methods for use in identifying the performance of project outcomes.

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The outcomes of the construction projects can be evaluated in numerous ways. One method is to measure the satisfaction of participants as represented by the differences between their expectations and perceptions. This measurement is used widely in construction as it promises benefits, such as the improvement of product delivery, and enhances services quality by identifying some necessary changes. Commonly satisfaction measurement is gauged by evaluating the level of client satisfaction of construction performance. The measurement of customer satisfaction on the other hand, is based on the quality of the end product. This evaluation is used to encourage contractors to improve their performance to a required level and to ensure that the projects are delivered as expected- in terms of time, budget and quality. Several studies of performance measurement have indicated that contractor performance is still not satisfactory, as the outcome delivered is not as required (because of cost overruns, time overruns or because it is generally unsatisfactory). This drawback may be due to the contractors’ lack of expertise, motivation and/or satisfaction. The measurement of performance based on contractor satisfaction levels is still new and very few studies have yet taken place in the construction industry. This paper examines how the characteristics of a contracting organisation – namely its experience in the industry, background, past performance, size of organisation and financial stability- may influence its satisfaction levels with regards to project performance. Previous literature reviews and interviews are used as research tools in the preliminary investigation. The outcome is expected to present a basic understanding of contractor satisfaction measurement and its potential for improving the performance of project outcomes.

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In an environment where economic, political and technological change is the rule, a fundamental business strategy should be the defence of traditional markets and thoughtful entry into new markets, with an aim to increase market penetration and stimulate profit. The success of such a strategy will depend on the success of firms to do more and better for customers than their competitors. In other words, the firm’s primary competitive advantage will come from changes they implement to please their customers. In the construction industry, complexity of technical knowledge and construction processes have traditionally encouraged clients to play a largely passive role in the management of their project. However, today’s clients not only want to know about internal efficiency of their projects but also need to know how they and their contractors compare and compete against their competitors. Given the vulnerability of construction activities in the face of regional financial crisis, constructors need to be proactive in the search to improve their internal firm and project processes to ensure profitability and market responsiveness. In this context, reengineering is a radical design that emphasises customer satisfaction rather than cost reduction This paper discusses the crucial role of the client-project interface and how project networks could facilitate and improve information dissemination and sharing, collaborative efforts, decision-making and improved project climate. An intra-project network model is presented, and project managers’ roles and competencies in forming and coordinating project workgroups is discussed.

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As e-commerce is becoming more and more popular, the number of customer reviews that a product receives grows rapidly. In order to enhance customer satisfaction and their shopping experiences, it has become important to analysis customers reviews to extract opinions on the products that they buy. Thus, Opinion Mining is getting more important than before especially in doing analysis and forecasting about customers’ behavior for businesses purpose. The right decision in producing new products or services based on data about customers’ characteristics means profit for organization/company. This paper proposes a new architecture for Opinion Mining, which uses a multidimensional model to integrate customers’ characteristics and their comments about products (or services). The key step to achieve this objective is to transfer comments (opinions) to a fact table that includes several dimensions, such as, customers, products, time and locations. This research presents a comprehensive way to calculate customers’ orientation for all possible products’ attributes.

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Knowledge about customers is vital for supply chains in order to ensure customer satisfaction. In an ideal supply chain environment, supply chain partners are able to perform planning tasks collaboratively, because they share information. However, customers are not always able or willing to share information with their suppliers. End consumers, on the one hand, do not usually provide a retail company with demand information. On the other hand, industrial customers might consciously hide information. Wherever a supply chain is not provided with demand forecast information, it needs to derive these demand forecasts by other means. Customer Relationship Management provides a set of tools to overcome informational uncertainty. We show how CRM and SCM information can be integrated on the conceptual as well as technical levels in order to provide supply chain managers with relevant information.

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Despite its emphasis on relationships between buyers and sellers, and the effect of emotion on behaviours, marketing literature has not yet investigated customer gratitude as an element of relational exchange. Gratitude is a significant component of personal relationships and may offer important insights into how perceptions of relationship marketing investments impact customer trust in, satisfaction with and affective commitment to a seller. In addition, customer gratitude may provide a more complete explanation of how marketing investments work. Consequently, this research contributes to marketing literature by investigating customer gratitude as a mediating mechanism in the relationship between customer perceptions of relationship marketing investments and customer trust in, satisfaction with and affective commitment to the seller: all dimensions of relationship quality.

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This paper proposes a reward based demand response algorithm for residential customers to shave network peaks. Customer survey information is used to calculate various criteria indices reflecting their priority and flexibility. Criteria indices and sensitivity based house ranking is used for appropriate load selection in the feeder for demand response. Customer Rewards (CR) are paid based on load shift and voltage improvement due to load adjustment. The proposed algorithm can be deployed in residential distribution networks using a two-level hierarchical control scheme. Realistic residential load model consisting of non-controllable and controllable appliances is considered in this study. The effectiveness of the proposed demand response scheme on the annual load growth of the feeder is also investigated. Simulation results show that reduced peak demand, improved network voltage performance, and customer satisfaction can be achieved.

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Compensation systems are an essential tool to link corporate goals such as customer orientation with individual and organisational performance. While some authors demonstrate the positive effects of incorporating nonfinancial measures into the compensation system empirically, companies have encountered problems after linking pay to customer satisfaction. We argue that reasons for this can be attributed to the measurement of customer satisfaction as well as to the missing link between customer satisfaction and customer retention and profitability in theses cases. Hence, there is a strong need for the development of an holistic reward and performance measurement model enabling an organisation to identify cause-and-effect relationships when linking rewards to nonfinancial performance measures. We present a conceptual framework of a success chain driven reward system that enables organisations to systematically derive a customer-oriented reward strategy. In the context of performance evaluation, we propose to rely on integrated and multidimensional measurement methods.

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The paper explores the effect of customer satisfaction with online supporting services on loyalty to providers of an offline core service. Supporting services are provided to customers before, during, or after the purchase of a tangible or intangible core product, and have the purpose of enhancing or facilitating the use of this product. The internet has the potential to dominate all other marketing channels when it comes to the interactive and personalised communication that is considered quintessential for supporting services. Our study shows that the quality of online supporting services powerfully affects satisfaction with the provider and customer loyalty through its effect on online value and enjoyment. Managerial implications are provided.

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The effects of e-commerce institutional mechanisms on trust and online purchase have traditionally been understood in the initial online purchase context. This study extends this literature by exploring the role of e-commerce institutional mechanisms in the online repurchase context. In doing so, it responds to the emerging call for understanding the institutional context under which customer trust operates in an e-commerce environment. Specifically, this study introduces a key moderator, perceived effectiveness of e-commerce institutional mechanisms (PEEIM), to the relationships between trust, satisfaction, and repurchase intention. Drawing on the theory of organizational trust, and based on a survey of 362 returning online customers, we find that PEEIM negatively moderates the relationship between trust in an online vendor and online customer repurchase intention, as it decreases the importance of trust to promoting repurchase behavior. We also find that PEEIM positively moderates the relationship between customer satisfaction and trust as it enhances the customer’s reliance on past transaction experience with the vendor to reevaluate trust in the vendor. Consistent with the predictions made in the literature, PEEIM does not directly affect trust or repurchase intention. Academic and practical implications and future research directions are discussed.

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Cette étude empirique que nous avons appliquée à l’ingénierie-conseil, vise principalement deux objectifs ; (1) la validation des relations entre certaines caractéristiques des clients des services de ressources humaines et leur niveau de satisfaction face à ces services et (2) l’étude des relations entre les compétences des professionnels RH et le niveau de satisfaction des clients. Nous avons retenu un cadre théorique qui est constitué principalement de l’approche des constituantes multiples. Notre modèle d’analyse suppose que la satisfaction des groupes-clients d’un SRH est influencée par onze facteurs. De ces facteurs, cinq reflètent les caractéristiques des clients ; 1-l’engagement, 2-le sexe, 3-l’âge, 4-l’ancienneté et 5-la fréquence des contacts. Les six autres facteurs représentent les compétences des professionnels en ressources humaines ; 1-expert en ressources humaines, 2-allié de l’organisation, 3-gestion de la culture et du changement, 4-architecte stratégique, 5-gestion de talent et 6-activiste crédible. Pour les fins de notre recherche, nous retenons une approche quantitative et qualitative. Les résultats des analyses bivariées ne confirment pas nos hypothèses. Par contre, l’ancienneté et l’âge des clients semblent avoir une relation négative avec la satisfaction des clients. Quant à l’analyse de contenu des entrevues effectuées auprès des professionnels ressources humaines d’une organisation, elle permet de faire ressortir les liens entre la satisfaction et cinq compétences. Celles-ci sont l’expert en ressources humaines, l’allié de l’organisation, la gestion de la culture et du changement, la gestion du talent et l’activiste crédible. Ainsi, cinq propositions sont supportées.

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As of 1999. the state of Kerala has 3210 offices of scheduled commercial banks (SCBS). In all, there are 48 commercial banks operating in Kerala, which includes PSBs, OPBs, NPBS. FBs, and Gramin Banks. The urban areas give a complete picture of the competition in the present day banking scenario with the presence of all bank groups. Semi-urban areas of Kerala have 2196 and urban areas have 593 as on March 1995.“ The study focuses on the selected segments ofthe urban customers in Kerala which is capable of giving the finer aspects of variation in customer behaviour in the purchase of banking products and services. Considering the exhaustive nature of such an exercise, all the districts in the state have not been brought under the purview of the study. Instead. three districts with largest volume of business in terms of deposits, advances, and number of offices have been short listed as representative regions for a focused study. The study focuses on the retail customer segment and their perceptions on the various products or services offered to them. Non Resident Indians (NRIs), and Traders and Small—ScaIe Industries segments have also been included in the study with a view to obtain a comparative picture with respect to perception on customer satisfaction and service quality dimensions and bank choice behaviour. The research is hence confined to customer behaviour and the implications for possible strategies for segmentation within the retail segment customers

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Recognizing that high satisfaction leads to high customer loyalty, companies today are aiming for total customer satisfaction. This article explains relative impact of product quality, service quality and contextual experience on customer perceived value and intention to shop in the future. The data has been collected using a questionnaire from 205 customers of a national retailer chain. The relative importance of product quality, service quality and contextual experience on customer perceived value and thus on customer preference and future intentions was measured using multiple regression. Also, the contribution of perceived value to preference and thus on future buying intention was also measured. Structural Equation Model (SEM) using Amos 4 was used to find the overall fitness of the model. It was found that product quality, service quality and contextual experience have a major influence on customer perceived value

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Customers will not continue to pay for a service if it is perceived to be of poor quality, and/or of no value. With a paradigm shift towards business dependence on service orientated IS solutions [1], it is critical that alignment exists between service definition, delivery, and customer expectation, businesses are to ensure customer satisfaction. Services, and micro-service development, offer businesses a flexible structure for solution innovation, however, constant changes in technology, business and societal expectations means an iterative analysis solution is required to i) determine whether provider services adequately meet customer segment needs and expectations, and ii) to help guide business service innovation and development. In this paper, by incorporating multiple models, we propose a series of steps to help identify and prioritise service gaps. Moreover, the authors propose the Dual Semiosis Analysis Model, i.e. a tool that highlights where within the symbiotic customer / provider semiosis process, requirements misinterpretation, and/or service provision deficiencies occur. This paper offers the reader a powerful customer-centric tool, designed to help business managers highlight both what services are critical to customer quality perception, and where future innovation

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Patient satisfaction represents a significant outcome criterion in the context of systemic psychotherapeutic therapy research. This study investigated parent satisfaction with a psychosocial treatment program (comprising three components: child group therapy, parents' evenings, systemic family sessions) for pediatric primary headache (diagnosed according to IHS criteria). 10 weeks after the end of the treatment program, the parents were sent a questionnaire containing open questions and ten-point numerical rating scales. The sample comprised n=48 families. The return rate was 89%. The qualitative content analysis showed a hierarchical category system consisting of 3 major categories, 7 main groups and 69 sub-categories. The parents stated that they were satisfied with (1.) the effects of the treatment program, (2.) the specific treatment techniques and the medical and psychosocial headache-related information provided, and (3.) the therapeutic relationship. The mean satisfaction for all three therapy components on the ten-point numerical rating scale was 8.1 with a standard deviation of 2.0 (child headache group: 8.5; parents' evenings: 8.2; family sessions: 7.5). The results are discussed with reference to methodological aspects: avoidance of ceiling effects and social desirability in measuring customer satisfaction, order effects of items, weighting of the significance of satisfaction levels as an outcome criterion.