bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antecedents of customer satisfaction: a study of Indian public and private sector banks
Authors: Kaura Vinita 
Published: March 2013

PurposeThe purpose of this paper is to examine the effect of service quality, perceived price and fairness and service convenience on customer satisfaction. It also aims to compare multiple regression models between public and new private sector banks.Design/methodology/approachA cross‐sectional research on 445 retail banking customers through a questionnaire is conducted. The population of the study consists of valued retail urban customers of banks in Rajasthan, India, who frequently visit bank premises for transactions, have accounts in at least two banks and have availed of at least one information technology based services. Responses are analysed using regression analyses.FindingsDimensions of service quality are employee behavior, tangibility and information technology. Dimensions of service convenience are decision convenience, access convenience, transaction convenience, benefit convenience and post‐benefit convenience. For public sector banks, except tangibility, all antecedents have positive impact on customer satisfaction. For private sector banks except tangibility and benefit convenience all antecedents have positive impact on customer satisfaction. Significant difference in beta coefficient is found between public and private sector banks regarding employee behavior, decision convenience, access convenience and post‐benefit convenience.Research limitations/implicationsThis study has taken into account a specific category of retail banking customers. Thus, it limits generalization of results to other banking populations.Practical implicationsThis study highlights the importance of service quality, service convenience and price in satisfying customers. Bank managers can focus on these factors to satisfy customers.Originality/valueThe paper emphasizes the significance of service quality, price and SERVCON on customer satisfaction for Indian banking sector. It compares the multiple regression models for public and private sector banks.
Computer homogeneous models and magnetization curve of magnetic micro‐fibers
Authors: Wiak Slawomir , Firych‐Nowacka Anna , Di Barba Paolo 
Published: March 2013

PurposeThe purpose of this paper is to create computer models of magnetic micro‐ and nano‐fibres. The fibres are the base of textronics devices, such as sensors and actuators. The authors show how one can avoid painstaking work during manufacture process by initial preparing of computer models.Design/methodology/approachThe paper presents correspondence between finite element method (FEM) and reluctance network method (RNM). The smooth transition is possible, due to homogeneous models of magnetic micro fibres based on FEM.FindingsThe paper describes the solution to accelerated designing and manufacturing process of magnetic micro‐fibres; it describes also how magnetic permeability of such fibers can be calculated and how to perform a homogenisation in models.Originality/valueThe authors present a new way of modelling magnetic micro‐fibers by combining FEM with RNM. So far, only calculations for the B/H curve of magnetic micro‐fibers have been performed, yet authors propose an innovative way for determination of magnetic micro‐fibers' parameters. Homogenisation of finite element models is the crucial part in the process of combining two different numerical methods.
Modelling of impulse currents in mechanical rolling element bearings
Authors: Kolbe Hendrik , Muetze Annette , Hameyer Kay 
Published: March 2013

PurposeThe purpose of this paper is to contribute toward the modelling of the microscopic interaction between high‐frequency discharge bearing currents and rolling element bearings in the contact zone. It also aims to develop a reduced model that can serve as a starting point for further developments.Design/methodology/approachThe complexity of an ideal comprehensive model is identified and analysed. Based thereon, a reduced model is developed.FindingsThe true system is highly complex and cannot be solved in a single‐step approach. The proposed reduced model allows the explanation of the melting of the bearing surfaces under the influence of the high‐frequency currents. It also provides a starting point for the development of an extended model.Research limitations/implicationsThe model excludes the dynamic rolling movement of the bearing. The development of the frosting and fluting observed on the bearing running surfaces can only be explained in parts.Practical implicationsThe melting of the bearing race surface can be modelled and thereby explained. The proposed model forms a good basis for further work toward an extended model to explain the high‐frequency bearing current bearing damage mechanism.Originality/valueThe paper offers a method to model the microscopic interaction between high‐frequency discharge bearing currents and rolling element bearings in the contact zone. This phenomenon has not yet been modelled to this extent. Such a model – and the understanding brought forth from it – allows the reduction in the cost for safe operation of modern variable speed drive systems.
A novel bearingless switched reluctance motor
Authors: Wang Xilian , Ge Baoming , Wu Zhaoli , Ferreira Fernando J.T.E. 
Published: March 2013

PurposeThis paper seeks to propose a novel bearingless switched reluctance motor (BSRM).Design/methodology/approachThe operating principle and structure characteristics of the proposed three‐phase 12/8‐pole BSRM is analyzed in detail. Finite element method‐based calculations are applied to a prototype and some important characteristics are obtained, including radial force, static torque, air‐gap magnetic flux density, and effect of control winding current on the torque, where magnetic saturation is taken into account by using a nonlinear B‐H curve.FindingsOn the basis of the simulated results, it can be concluded that the proposed BSRM presents an excellent performance in the suspending force and in the torque. The analyzed results show that the two control‐winding currents can effectively control the radial suspending forces and produce negligible effect on the motor torque, which is mainly produced by the main‐winding currents.Originality/valueIn this paper, a novel BSRM is proposed. Instead of the six sets of radial suspending control windings required by conventional three‐phases BSRM, the proposed structure requires only two sets of suspending control windings, regardless of the phase number, leading to a simpler power converter with less power switches, thus lowering the overall system cost.
An effective taint‐based software vulnerability miner
Authors: Liu Zhi , Zhang Xiaosong , Wu Yue , Chen Ting 
Published: March 2013

PurposeThe purpose of this paper is to propose an approach to detect Indirect Memory‐Corruption Exploit (IMCE) at runtime on binary code, which is often caused by integer conversion error. Real‐world attacks were evaluated for experimentation.Design/methodology/approachCurrent dynamic analysis detects attacks by enforcing low level policy which can only detect control‐flow hijacking attack. The proposed approach detects IMCE with high level policy enforcement using dynamic taint analysis. Unlike low‐level policy enforced on instruction level, the authors' policy is imposed on memory operation routine. The authors implemented a fine‐grained taint analysis system with accurate taint propagation for detection.FindingsConversion errors are common and most of them are legitimate. Taint analysis with high‐level policy can accurately block IMCE but have false positives. Proper design of data structures to maintain taint tag can greatly improve overhead.Originality/valueThis paper proposes an approach to block IMCE with high‐level policy enforcement using taint analysis. It has very low false negatives, though still causes certain false positives. The authors made several implementation contributions to strengthen accuracy and performance.
SEVE: Symbolic Execution based Vulnerability Exploring system
Authors: Chen Ting , Zhang Xiao‐song , Xiao Xu , Wu Yue , Xu Chun‐xiang , Zhao Hong‐tian 
Published: March 2013

PurposeSoftware vulnerabilities have been the greatest threat to the software industry for a long time. Many detection techniques have been developed to address this kind of issue, such as Fuzzing, but mere Fuzz Testing is not good enough, because the Fuzzing only alters the input of program randomly, and does not consider the basic semantics of the target software. The purpose of this paper is to introduce a new vulnerability exploring system, called “SEVE” to explore the target software more deeply and to generate more test cases with more accuracy.Design/methodology/approachSymbolic execution is the core technique of SEVE. The user can just input a standard input, and the SEVE system will record the execution path, alter the critical branches of it, and generate a totally different test case which will make the software under test execute a different path. In this way, some potential bugs or defects, even the exploitable vulnerabilities will be discovered. To alleviate path explosion, the authors propose heuristic method and function abstraction, which in turn improve the performance of SEVE even further.FindingsWe evaluate SEVE system to record critical data about its efficiency and performance. We have tested some real‐world vulnerabilities, from which the underlying file‐input programs suffer. After that, the results show that SEVE is not only re‐creating the discovery of these vulnerabilities, but also at a higher performance level than traditional techniques.Originality/valueThe paper proposes a new vulnerability exploring system, called “SEVE” to explore the target software and generate test cases automatically and also heuristic method and function abstraction to handle path explosion.
An improved joint dictionary training method for single image super resolution
Authors: Zeng Lei , Li Xiaofeng , Xu Jin 
Published: March 2013

PurposeThe purpose of this paper is to introduce an improved method for joint training of low‐ and high‐resolution dictionaries in the single image super resolution. With simulations, the proposed method is thereafter evaluated.Design/methodology/approachSparse representations of low‐resolution image patches are used to reconstruct the high‐resolution image patches with high resolution dictionary. By using different factors, the scheme weights the two dictionaries in the high‐ and low‐resolution spaces in the training process. It is reasonable to achieve better reconstructed images with more emphasis on the high‐resolution spaces.FindingsAn improved joint training algorithm based on K‐SVD is developed with flexible weight factors on dictionaries in the high‐ and low‐resolution spaces. From the experiment results, the proposed scheme outperforms the classic bicubic interpolation and neighbor‐embedding learning based method.Originality/valueBy using flexible weight factors in joint training of the dictionaries for super resolution, better reconstruction results can be achieved.
Effects of mutual fund advertising disclosures on investor information processing and decision-making
Authors: (David) Lee Taejun , Yun TaiWoong , Haley Eric 
Published: March 2013

Purpose– This research aims to examine the effects of financial services advertising disclosures by pairing a content analysis documenting how mandatory financial disclosures are presented in mutual fund advertisements with a between-subjects experiment assessing whether inclusion of the disclosures influences consumer responses to advertisement, brand and company evaluations.Design/methodology/approach– This research examines the effects of financial services advertising disclosures by pairing a content analysis documenting how mandatory financial disclosures are presented in mutual fund advertisements with a between-subjects experiment assessing whether the inclusion of the disclosures influences consumer responses to the ad, brand and company.Findings– The findings show more positive consumer responses for perceived advertising responsibility, recall, and cognitive response as well as higher risk perception when consumers are exposed to the financial disclosures in mutual fund advertisements. Also, the results indicate a mediating role of positive cognitive responses on attitude toward the mutual fund company only when consumers are exposed to advertising disclosures.Originality/value– The paper extends knowledge of whether and how required information disclosures pertaining to mutual funds influence investors ' psychological responses in mutual fund advertising contexts. From a managerial perspective, it has implications for financial services advertising and other social marketing campaigns by uncovering the effects of advertising-as-information in financial decision-making. From a public policy standpoint, the paper is among the first to make explicit claims regarding the role of advertising disclosure in retail investment circumstances.
Determinants of diners ' variety seeking intentions
Authors: Ha Jooyeon , (Shawn) Jang SooCheong 
Published: March 2013

Purpose– The purpose of this study is to identify diners ' fundamental reasons for seeking variety in their choice of a restaurant and to understand their variety-seeking intentions from the perspective of personality characteristics.Design/methodology/approach– An online survey was conducted using a self-administered questionnaire and 309 usable responses were collected. To test the hypothesized relationships, structural equation modeling (SEM) was performed. A multiple group analysis was also conducted to test the moderating effects of personality characteristics.Findings– The results suggested that diners ' desired values are more critical than prior dining experiences in determining variety seeking intentions. Further, satisfaction and desired hedonic/utilitarian values differently affect variety seeking intentions across high and low allocentric personality groups.Practical implications– Regarding personality types, satisfaction and desired values were found to have a significant impact on variety seeking intentions in the high allocentric group, but not the low allocentric group. This suggests that the restaurant industry could develop effective marketing strategies by considering their target customers ' personality characteristics.Originality/value– This study is unique in that it identified customers ' fundamental reasons for seeking variety in consumption situations, particularly in terms of restaurant choice. This study also considered individuals ' personality characteristics associated with optimal stimulation level in order to understand why consumers seek variety.
Effects of attitudes vs experience of workplace fun on employee behaviors
Authors: Gin Choi Young , Kwon Junehee , Kim Wansoo 
Published: March 2013

PurposeThe aim of this study is to reveal how Generation Y employees' attitude toward workplace fun affects their experienced workplace fun, job satisfaction, task performance, and organizational citizenship behaviors toward individuals (OCBI) in the hospitality business context.Design/methodology/approachThe conceptual model of this study was tested based on responses from 234 hospitality students in the USA who are Generation Yers and had worked in the hospitality industry for more than three months.FindingsThis study revealed that Generation Y employees' attitude toward workplace fun positively affects their experienced workplace fun. In turn, Generation Yers' experienced workplace fun showed positive direct effects on their job satisfaction, task performance, and OCBI.Research limitations/implicationsFirst, the older Gen. Yers who are 26 or older were underrepresented in this study. Also, Gen. Yers who are less than college educated are not included in this study. Second, a nation‐wide economic crisis in the USA may affect college students' attitude toward workplace fun, making them more serious about work.Practical implicationsThe management in hospitality businesses needs to foster fun‐loving cultures to get rid of any unnecessary guilt feeling of having fun at work among employees, and thus fully enjoy the positive effects of workplace fun in the organization.Originality/valueThis study is the first to empirically test how hospitality employees' attitude toward workplace fun affects their job performance.
The impact of electronic word of mouth on a tourism destination choice
Authors: Reza Jalilvand Mohammad , Samiei Neda 
Published: March 2013

PurposeIn an environment in which there has been a reduction in consumer trust of both organizations and advertising, as well as a decrease in television advertising, word of mouth (WOM) offers a way to obtain a significant competitive advantage. WOM is especially important in the hospitality and tourism industry, whose intangible products are difficult to evaluate prior to their consumption. When WOM becomes digital, the large‐scale, anonymous, ephemeral nature of the Internet induces new ways of capturing, analyzing, interpreting, and managing the influence that one consumer may have on another. The purpose of this paper is to investigate the impact of electronic WOM (eWOM) on a tourism destination choice, using the theory of planned behaviour (TPB). Further, an effort was employed to determine the effect of past travel experience on using eWOM and TPB constructs.Design/methodology/approachA structural equation modeling procedure was applied to the examination of the influences of eWOM on attitudes towards visiting Isfahan, subjective norms, perceived behavioral control, and travel intention. Analysis of variance (ANOVA) was utilised in order to analysing the relations between these constructs and past travel experience. The research model was tested empirically using a sample of 296 inbound tourists who had experience within the online communities and travelled to Isfahan during the period of research.FindingsFindings indicate that online WOM communications have a significant impact on attitudes toward visiting Isfahan, subjective norms, perceived behavioral control, and intention to travel. In addition, travel experience has a significant impact on using eWOM and TPB constructs.Practical implicationsThe paper suggests that eWOM activity is more complex than previous research has argued. Managers should consider various eWOM facets and try to motivate tourists for participating in online travel communities and to build online travel communities with characteristics such usefulness and ease of use.Originality/valueThere has been a lot of marketing research on eWOM but none has focused on covering eWOM in tourism industry and its impact on tourism destination choice by adding new dimension of eWOM to the theory of planned behavior. This paper seeks to fill this gap.
To establish online shoppers’ markets and rules for dynamic CRM systems
Authors: Chiang Wen‐Yu 
Published: March 2013

PurposeThe purpose of this paper is to establish customers’ markets and rules of dynamic customer relationship management (CRM) systems for online retailers.Design/methodology/approachThis research proposes a procedure to discover customers’ markets and rules, which adopts the recency, frequency, monetary value (RFM) variables, transaction records, and socioeconomic data of the online shoppers to be the research variables. The research methods aim at the supervised apriori algorithm, C5.0 decision tree algorithm, and RFM model.FindingsThis research discovered eight RFM markets and six rules of online retailers.Practical implicationsThe proposed framework and research results can help retailer managers to retain and expand high value markets via their dynamic CRM and POS systems.Originality/valueThis research uses data mining technologies to extract high value markets and rules for marketing plans. The research variables are easy to obtain via retailers’ systems. The found customer values, RFM markets, shopping association rules, and marketing decision rules can be discovered via the framework of this research.
Friend me: which factors influence top global brands participation in social network sites
Authors: Araujo Theo , Neijens Peter 
Published: March 2013

PurposeThis study focuses on how brands participate in social network sites (SNSs) and investigates both the different strategies they adopt and the factors that influence these strategies.Design/methodology/approachThe activities of top brands in SNSs were investigated through a content analysis of brand web sites in three countries, measuring two primary dimensions: presence in SNSs and level of engagement which the brand hoped to establish with stakeholders. The study then built logistic regression models to understand which factors drive brands to adopt and use SNSs, using insights from previous studies related to internet innovation adoption cycles.FindingsThe study confirmed that SNS adoption follows a general path of Internet innovation adoption by brands. Industry markets exert influence, with technology and consumer intensive brands being more likely than all other industry segments to be present in SNSs and to participate at higher engagement levels, while brands targeting younger audiences also engage at higher levels than brands targeting generic audiences. The country in which the brand operates plays a significant role in a brand's likelihood of adopting SNSs: web sites in the USA are more likely to use SNSs than other countries, even after controlling for factors such as pre‐existing web operations or the headquarters being in the same country. It was also found that top brands operate in a global world, as shown by their preference for SNSs with global coverage compared to local SNS, even when the penetration rates of these local SNSs were higher.Originality/valueThe paper advances research on SNS adoption by brands from an organizational standpoint, at a time when the majority of the top global brands actively promote such services.
The effects of blogger recommendations on customers’ online shopping intentions
Authors: Hsu Chin‐Lung , Chuan‐Chuan Lin Judy , Chiang Hsiu‐Sen 
Published: March 2013

PurposeBlogging has become part of a consumer's decision making process when shopping online; however, the understanding of blog recommendation's effect on consumer purchase decision is still vague. The purpose of this study is to examine whether the blog reader's trusting belief in the blogger is significant in relation to the perceived usefulness of the blogger's recommendations; and how the blog reader's perceptions influence his/her attitude and purchasing behavior online. The moderating effect of blogger's reputation on readers’ purchasing intentions is also tested.Design/methodology/approachBased on various theories, a model was proposed in this study. A survey involving 327 blog readers as participants was analyzed in the empirical study to investigate whether the usefulness of bloggers’ recommendations and trusting beliefs toward blogger had influence on consumers’ attitudes and behavioral intentions toward online shopping.FindingsThe results indicated that perceived usefulness of bloggers’ recommendations and trust had significant influential effect on blog users’ attitude towards and intention to shop online. Moreover, the findings showed that different determinants affected the users of perceived‐high‐reputation and perceived‐low‐reputation blogs.Originality/valueThe findings suggest bloggers’ electronic word‐of‐mouth (eWOM) to be a promising marketing strategy for increasing sales. The marketers should provide free trial products and services to the perceived‐high‐reputation bloggers who, as valued opinion leaders, will influence and prompt others to shop online through a trusting effect. As for perceived‐low‐reputation bloggers, the marketing strategists should strive to emphasize the usefulness of products and services being marketed, so these perceived‐low‐reputation bloggers can focus more on describing the advantages and benefits of products or services discussed in their blogs.