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Article
Publication date: 7 August 2017

Brian F. Blake, Steven Given, Kimberly A. Neuendorf and Michael Horvath

The purpose of this paper is threefold: first, to present a framework of five “facets,” i.e., distinct but complementary ways in which the observed appeal of a consumer…

Abstract

Purpose

The purpose of this paper is threefold: first, to present a framework of five “facets,” i.e., distinct but complementary ways in which the observed appeal of a consumer shopping site’s features can potentially be generalized across product/service domains (the authors call this framework the feature appeal generalization perspective); second, to determine if and how observed feature preferences for consumer electronics, bookstores, and sites “in general” generalize across domains; third, to test hypotheses about the impact of frequency of domain usage upon feature generalizability.

Design/methodology/approach

Via an online survey administered in a controlled laboratory setting, 313 respondents evaluated 26 website features in three domains (books, electronics, general) for a total of 24,414 preference judgments.

Findings

Two facets, individual feature values and within domain evaluative dimensions, revealed minimal generalizability, while there was moderate comparability across all domains in between domain feature correspondence. Personal preference elevation could be generalized between books and general, but not between these two and electronics. Differentiating dimensions showed that preferences were not generalizable from electronics to books and general because consumers wanted electronics features to provide “flashy sizzle” and books/general features to give “comfortable safety.” As hypothesized, patterns of generalizability coincided with frequency of domain usage.

Research limitations/implications

Practitioners should not apply published studies of feature appeal to their domain of interest unless those studies directly analyzed that domain. Scientists should incorporate all five facets in modeling what attracts consumers to commercial websites.

Originality/value

This is the first multidimensional analysis of the generalizability of site feature appeal across business-to-consumer product/service domains, and the first to propose this integrated evaluative framework with its unique facets.

Details

Internet Research, vol. 27 no. 4
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 13 February 2017

Sunčica Hadžidedić Baždarević and Alexandra Ioana Cristea

The purpose of this paper is to explore the type of personalisation services satisfying the needs of cancer websites’ target users, and the influence of their emotional…

Abstract

Purpose

The purpose of this paper is to explore the type of personalisation services satisfying the needs of cancer websites’ target users, and the influence of their emotional states on website usage intentions.

Design/methodology/approach

Three data collection methods were employed. Survey questionnaires were distributed to online health users. Interviews with representatives of the cancer-affected population further explored emotions as stimuli for online cancer-related activities. Finally, availability of personalisation features was evaluated on existing health websites in Bosnia and Herzegovina and the UK.

Findings

A clear preference emerged for personalisation on cancer-related websites. There are specific personalisation features the cancer-affected population desires. Interestingly, certain emotions were found to stimulate visits to health websites.

Research limitations/implications

Fighting cancer implies constant support, including from cancer-related websites. It is thus vital to understand the required personalisation, stemming from target users’ actual needs, including the neglected user characteristics, as are emotions for cancer-affected people. This supports emotion-based personalisation.

Originality/value

The paper focusses on the cancer-affected population, and developing a comprehensive understanding of their personalisation needs in online health services. It further shows which emotions influence intentions to use cancer websites. The three concepts combined have not yet been studied, to the best of the authors’ knowledge.

Details

Online Information Review, vol. 41 no. 1
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 7 November 2016

Monireh Gharibe Niazi and Masumeh Karbala Aghaei Kamran

As a result of the so-called information explosion, it is very important for researchers, faculty members and students to access scientific and research information, which…

Abstract

Purpose

As a result of the so-called information explosion, it is very important for researchers, faculty members and students to access scientific and research information, which highlights the importance of designing university websites. The purpose of this paper was to evaluate Iranian state university websites using the Web quality evaluation method (WebQEM).

Design/methodology/approach

The research method was a combination of a descriptive survey and Delphi technique. The research population included 100 Iranian state university websites. Data collection was done using the checklists prepared by WebQEM. Descriptive statistics (frequency, mean and standard deviation) and analysis statistics (Spearman rank-difference correlation coefficient) were used for data analysis.

Findings

The results indicated that Iranian state university websites met the four main criteria considered in WebQEM; reliability (mean = 0.67), efficiency (mean = 0.66) and functionality (mean = 0.62) were in a “good” condition, and usability was in a “middle” condition (mean = 0.59). Also, the findings showed that 60 per cent of the websites were in a good condition and 37 per cent were in a middle condition. In conclusion, Iranian state university websites were found to be in a “good” condition (mean = 0.63). Also, Ferdowsi University of Mashhad was ranked in the first place (score = 0.822). The hypothesis that there was a very weak correlation between Iranian state university ranking and Iranian state university websites ranking was confirmed (with the correlation of 0.22).

Practical implications

The paper includes implications for the development of user interface of academic websites. This paper fills a part of the gap in terms of an urgent need for research on how university websites can be standardized. If university websites have significant and necessary standard factors (i.e. ISO 9126-1), students may succeed in academic information retrieval. Using the results of this research can help university website designers to fix weaknesses for active participation in these websites.

Originality/value

This study has evaluated Iranian state university websites using WebQEM.

Details

The Electronic Library, vol. 34 no. 6
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 19 September 2019

Chengzhi Zhang, Tiantian Tong and Yi Bu

Websites have their own features in aspect preference (e.g. the relative importance platforms place on product aspects in product evaluation). The purpose of this paper is…

Abstract

Purpose

Websites have their own features in aspect preference (e.g. the relative importance platforms place on product aspects in product evaluation). The purpose of this paper is to capture characteristics of different book reviews on aspect preferences by opinion mining techniques.

Design/methodology/approach

The authors employ two indicators for identifying aspect preferences, and propose a method for quantifying overall differences of reviews on aspect preferences through three dimensions: aspect awareness, aspect satisfaction and comprehensive value.

Findings

The results show that book reviews on e-commerce websites contain information about external aspects of a book (e.g. hardcover), while those on social network websites pay more attention to content-related aspects of the book (e.g. stories). These results indicate that aspect preferences of reviews vary from platforms and make it hard to evaluate book comprehensively based on single-source data. Online book reviews from a wide range of sources can assess book impact from multiple perspectives and dimensions.

Practical implications

In order to illustrate the value of the authors’ method, the authors show book impact assessment based on multi-source data as an application of these difference analyses. Furthermore, the authors present an example of a book promotion to provide customized marketing services for different user clusters.

Originality/value

This study investigates the influence of different data sources on book evaluation from the content of book reviews. The authors also showcase potential applications of these analyses in book impact assessment.

Details

Online Information Review, vol. 43 no. 7
Type: Research Article
ISSN: 1468-4527

Keywords

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Article
Publication date: 9 January 2020

Duen-Ren Liu, Yun-Cheng Chou and Ciao-Ting Jian

Online news websites provide diverse article topics, such as fashion news, entertainment and movie information, to attract more users and create more benefits…

Abstract

Purpose

Online news websites provide diverse article topics, such as fashion news, entertainment and movie information, to attract more users and create more benefits. Recommending movie information to users reading news online can enhance the impression of diverse information and may consequently improve benefits. Accordingly, providing online movie recommendations can improve users’ satisfactions with the website, and thus is an important trend for online news websites. This study aims to propose a novel online recommendation method for recommending movie information to users when they are browsing news articles.

Design/methodology/approach

Association rule mining is applied to users’ news and movie browsing to find latent associations between news and movies. A novel online recommendation approach is proposed based on latent Dirichlet allocation (LDA), enhanced collaborative topic modeling (ECTM) and the diversity of recommendations. The performance of proposed approach is evaluated via an online evaluation on a real news website.

Findings

The online evaluation results show that the click-through rate can be improved by the proposed hybrid method integrating recommendation diversity, LDA, ECTM and users’ online interests, which are adapted to the current browsing news. The experiment results also show that considering recommendation diversity can achieve better performance.

Originality/value

Existing studies had not investigated the problem of recommending movie information to users while they are reading news online. To address this problem, a novel hybrid recommendation method is proposed for dealing with cross-type recommendation tasks and the cold-start issue. Moreover, the proposed method is implemented and evaluated online in a real world news website, while such online evaluation is rarely conducted in related research. This work contributes to deriving user’s online preferences for cross-type recommendations by integrating recommendation diversity, LDA, ECTM and adaptive online interests. The research findings also contribute to increasing the commercial value of the online news websites.

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Article
Publication date: 7 March 2019

Gunjan Sharma, Naval Bajpai, Kushagra Kulshreshtha, Vikas Tripathi and Prince Dubey

The online shopping behavior is the outcome of the variety of attribution from product/ service offering to internet experience. The present study attempts to develop a…

Abstract

Purpose

The online shopping behavior is the outcome of the variety of attribution from product/ service offering to internet experience. The present study attempts to develop a complete product/service offering by exploring and examining the different combinations of online shopping attributes to provide the customized experience. Therefore, this study aims to fill the gap of customer desired experience and present scenario in online shopping behavior.

Design/methodology/approach

The exploration of attributes pertaining to online shopping behavior was done by seeking theoretical support from different technology adoption theories/models and the Delphi technique, exercised with active participants of online and offline shopping. The theoretical and experience shared attributes were devised and social desirability scale (SDS) was used for eliminating the social desirability bias. Further, the questionnaire was administered online and offline during mall intercept. The Conjoint analysis was used to investigate the relative importance and utilities of the attributes and its levels individually and compositely at different levels.

Findings

In the context, brand loyalty, online reputation management and Web interactivity were found most relavant followed by e-WOM, perceived risk and price. The specific levels of attributes such as taking consumer advice, search engine optimization (SEO), perception-based interactivity, consumer message boards, product risk and discount pricing were the crucial in motivating the customers for online shopping. This research affords the avenue for the marketers to motivate and delight consumers to retribalize by the way of “e-tribalizing.”

Research limitations/implications

The current study was conducted in confined geographical locations and limited in sample size; thus, the issue of generalization may prevail, but forthcoming researchers may exercise the techniques with better probabilistic sampling technique. The mass customization of the website features by comparing attribute orientation of customers around websites was recommended with the third-party certification to reduce the consumers’ perceived risk during online shopping. Finally, the different levels, such as Facebook fan page in ORM and Everyday Low Price (EDLP) in pricing may be considered for the future research work.

Originality/value

The research studies on online shopping behavior with Web interactivity, e-WOM, perceived risk, brand loyalty, ORM and price using a decompositional technique are scant. This study persuades the customers to go for online shopping by putting them in the almost real-time purchasing scenario. The study confirmed the need of people to retribalize through e-tribalization by the way of customization for the masses in the context of online shopping.

Details

foresight, vol. 21 no. 2
Type: Research Article
ISSN: 1463-6689

Keywords

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Article
Publication date: 19 March 2019

Xingsong Shi and Xiaohui Shan

The purpose of this paper is to investigate Chinese and American financial companies’ distinct brand personality indicators shown through culturally based linguistic…

Abstract

Purpose

The purpose of this paper is to investigate Chinese and American financial companies’ distinct brand personality indicators shown through culturally based linguistic features online. The potential correlation between culturally oriented brand personalities and companies’ financial performance is also examined.

Design/methodology/approach

This study employs computerized content analyses to examine the cross-cultural differences among 28 American and Chinese financial companies’ online communication based on Aaker’s brand personality framework.

Findings

The findings reveal that despite some similarities, there are significant differences between the frequencies and patterns of brand personality indicators on American and Chinese websites, which demonstrate the connection between the companies’ linguistic preferences with their different cultural backgrounds. It also proves that there could be significant relationship between financial companies’ corporate brand (CB) personality expressions and their financial performance, and US financial companies’ revenues are more closely correlated with brand personality dimensions than Chinese companies’.

Practical implications

The necessity for cross-cultural adaptation of CB personality is verified in this study. Chinese international companies may have a big room to improve their online corporate communication. Similarly, foreign companies who intend to enter into Chinese market may think about laying emphasis on their personality indicators of competence in their online corporate communication.

Originality/value

This research is among the first to utilize a corpus-based analytical tool to conduct content analyses of financial companies’ online brand personalities, in addition to empirically validate the correlations between companies’ brand personality indicators and financial performance. The study enriches the literature on online marketing communication, draws attention to the connection between cultural differences and linguistic preferences in CB personality construction and emphasizes the importance of making appropriate cross-cultural adaptation in online corporate communication.

Details

Marketing Intelligence & Planning, vol. 37 no. 5
Type: Research Article
ISSN: 0263-4503

Keywords

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Article
Publication date: 14 August 2017

Raj Kumar Bhardwaj

The study aims to identify gender differences and similarities in the awareness of legal information resources and problems faced by legal professionals. Further, the…

Abstract

Purpose

The study aims to identify gender differences and similarities in the awareness of legal information resources and problems faced by legal professionals. Further, the study identifies the differences on the basis of gender, regarding the requirements in developing an online legal information system (OLIS) for the Indian environment.

Design/methodology/approach

The study was carried out in eight law libraries in Delhi using a structured questionnaire. Data were collected through the questionnaire having 27 questions including dichotomous (Yes/No), multiple-choice questions, rating and opinion questions. A need assessment survey was conducted using the structured questionnaire circulated among 750 respondents of eight institutions in Delhi. In total, 397 filled in questionnaires were received back. A total of 246 of the respondents were males and 151 females. The design and development of an OLIS went through five phases, i.e. preliminary preparation, designing and planning phase, development of OLIS covering preparation of software, data structures, metadata, search form, testing and implementation phase and maintenance.

Findings

The study found that 100 per cent of the female respondents were aware of online legal information resources. Maximum 28.4 per cent female respondents rated legal e-resources “very good”, whereas only 19.9 per cent male ranked them “very good”. Female respondents were found less aware about open access resources. In addition, of 246 male respondents, 213 (86.6 per cent) responded “Yes” about awareness of open access resources and 33 (13.4 per cent) marked “No”. In comparison, 116 (76.8 per cent) female respondents revealed they are aware of open access resources; 35 (23.2 per cent) were not aware of open access resources. Fifty-eight (23.6 per cent) male respondents were very dissatisfied, and 60 (24.4 per cent) completely dissatisfied. However, in contrast, 29 (19.2 per cent) female respondents were very dissatisfied and 24 (15.9 per cent) completely dissatisfied in using open access resources.

Research limitations/implications

The study covers only eight institutions in Delhi, India. High courts and law universities in other parts of the country are not covered. In addition, OLIS contains a sample collection.

Practical implications

The study explores the inhibitions faced by female and male legal professionals. A suitable legal information system is developed to match the requirements of female legal professionals, research scholars and faculty members. The study is expected to address problems faced by female legal professionals in accessing the desired judicial and legislative information.

Originality/value

OLIS (www.olisindia.in) has been developed on the basis of a need assessment survey conducted on male and female legal professionals in India. No study has been conducted so far to compare the viewpoints of male and female legal professionals in India for developing an OLIS.

Details

The Bottom Line, vol. 30 no. 2
Type: Research Article
ISSN: 0888-045X

Keywords

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Article
Publication date: 29 May 2019

Lisa B. Hurwitz, Heather Montague, Alexis R. Lauricella, Aubry L. Alvarez, Francesca Pietrantonio, Meredith L. Ford and Ellen Wartella

Social cognitive theory suggests that children may have more favorable attitudes toward food products promoted by media characters who are similar to them, in terms of…

Abstract

Purpose

Social cognitive theory suggests that children may have more favorable attitudes toward food products promoted by media characters who are similar to them, in terms of factors such as age, gender and race-ethnicity. This paper aims to profile the characters in food and beverage websites and apps for children and examine whether the healthfulness of promoted products varies as a function of character background.

Design/methodology/approach

This study includes two parallel content analyses focused on websites and apps that were produced by America’s top selling food and beverage companies.

Findings

There were very few child-targeted websites and apps, but those that existed were replete with media characters. These websites/apps tended to feature media characters with diverse gender, age and racial–ethnic backgrounds. However, marketing featuring adult and male characters promoted particularly unhealthy foods.

Social implications

American food companies, many of whom signed voluntary self-regulatory pledges through the Children’s Food and Beverage Advertising Initiative, should make a more concerted effort to refrain from featuring appealing media characters in child-directed new media marketing. Whether conscious or not, it seems as if food marketers may be leveraging characters to appeal to a wide audience of children of varied demographic backgrounds.

Originality/value

To the best of the authors’ knowledge, this manuscript is the only research to focus specifically on the demographic profiles (i.e. gender, age and race-ethnicity) of characters in food websites and the nutritional quality of the products they promote. It is also the first to systematically examine media characters in food apps in any capacity.

Details

Young Consumers, vol. 20 no. 1
Type: Research Article
ISSN: 1747-3616

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Article
Publication date: 22 November 2017

Yong-Hai Li, Zhi-Ping Fan and Guang-Hui Qiao

The purpose of this paper is to present a novel framework for recommending desirable products to active customers with the consideration of not only their preferences but…

Abstract

Purpose

The purpose of this paper is to present a novel framework for recommending desirable products to active customers with the consideration of not only their preferences but also the products’ quality performances and their e-retailers’ service performances under e-commerce.

Design/methodology/approach

A framework in support of the product recommendation is presented. Three modules are involved in the framework, i.e. data collection and preference analysis module, hybrid recommendation module and recommendation generation module. First, preferences of different types of customers are inferred through analysis of their behavioral data and then a paradigm is adopted based on cased-based reasoning to generate candidate recommendation products. Further, recommendation lists for different types of customers are obtained through measurement of the quality and service performances concerning each candidate recommendation product.

Findings

To illustrate the performance of the presented framework, a simulation study comparing the approach developed based on the framework and the traditional approach is conducted. The experiment results show that the developed approach outperformed the traditional approach in term of average rank score. This means that incorporating the consideration of product performance and customer service factors can play an important role in product recommendations.

Originality/value

The presented framework can overcome the defect that low conversion rate of recommended products to actually purchased ones suffered by the traditional approach. In addition, the use of the presented framework can not only help customers to obtain desirable products and save searching time but also supervise and urge e-retailers to pay more attention to the quality and service performances.

Details

Kybernetes, vol. 46 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

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