Search results

The purpose of this paper is to specify user‐defined relevance criteria by which people select hyperlinks and pages in web searching.

A quantitative and qualitative analysis was undertaken of talking aloud data from nine web searches conducted about self‐generated topics.

Altogether 18 different criteria for selecting hyperlinks and web pages were found. The selection is constituted, by two, intertwined processes: the relevance judgment of hyperlinks, and web pages by user‐defined criteria, and decision‐making concerning the acceptance or rejection of hyperlinks and web pages. The study focuses on the former process. Of the individual criteria, specificity, topicality, familiarity, and variety were used most frequently in relevance judgments. The study shows that despite the high number of individual criteria used in the judgments, a few criteria such as specificity and topicality tend to dominate. Searchers were less critical in the judgment of hyperlinks than deciding whether the activated web pages should be consulted in more detail.

The study is exploratory, drawing on a relatively low number of case searches.

The paper gives a detailed picture of the criteria used in the relevance judgments of hyperlinks and web pages. The study also discusses the specific nature of criteria used in web searching, as compared to those used in traditional online searching environments.

The purpose of this paper is to better understand the dynamic nature of the relevance judgment process and the influence of work task on that process.

The empirical study reported here examined the information seeking behavior of a group of undergraduate college students assigned a set of research assignments (work tasks). Subjects recorded their selection of documents used for an assignment and the criteria used to judge those documents relevant. Statistical analysis was used to associate relevance judgments and the criteria used to make those judgments with work tasks.

Findings indicate a strong statistical association between work task and criteria used to judge relevance. Findings also include identification of specific criteria used to judge relevance and the relative importance of those criteria based on frequency of selection of criteria for a work task.

Findings provide additional insights into the dynamic nature of the relevance judgment process. Relevance judgment influences revealed in these findings in the form of criteria used to make relevance judgments further explicate the relevance judgment process and provide suggestions for the improvement of information retrieval systems and information literacy efforts.

Understanding the relevance judgment process is critical to understanding information behavior in general. Few studies have examined relevance criteria selections as part of the relevance judgment process and fewer still have studied these selections in relation to work tasks. A better understanding of this relationship is an essential part of understanding the dynamic nature of the relevance judgment process and its influences.

Through a two-stage survey, this paper examines how researchers judge the quality of answers on ResearchGate Q&A, an academic social networking site.

In the first-stage survey, 15 researchers from Library and Information Science (LIS) judged the quality of 157 answers to 15 questions and reported the criteria that they had used. The content of their reports was analyzed, and the results were merged with relevant criteria from the literature to form the second-stage survey questionnaire. This questionnaire was then completed by researchers recognized as accomplished at identifying high-quality LIS answers on ResearchGate Q&A.

Most of the identified quality criteria for academic answers—such as relevance, completeness, and verifiability—have previously been found applicable to generic answers. The authors also found other criteria, such as comprehensiveness, the answerer's scholarship, and value-added. Providing opinions was found to be the most important criterion, followed by completeness and value-added.

The findings here show the importance of studying the quality of answers on academic social Q&A platforms and reveal unique considerations for the design of such systems.

The experts in industry and academicians value brand resonance is the prerequisite factor in the firms of financial services. In this regard, the purpose of this paper is to model the brand resonance score (BRS) for modified customer-based brand equity (CBBE) model in mutual fund financial services using structural equation modeling (SEM) and analytic network process (ANP).

Criteria and sub-criteria relative weights are calculated from the SEM and sub-sub-criteria relative weights are measured through pair-wise comparison matrix for BRS modeling using ANP approach.

The brand resonance using ANP has been quantified, and BRSs of each brand through brand judgments and brand feelings criteria are calculated using two renowned Indian mutual fund services brands State Bank of India and Hong Kong and Shanghai Banking Corporation.

Interdependency between sub-criteria are not explored. This research study is specific to Indian bank mutual fund services context.

Research findings provide useful guidelines for fund managers/analysts of mutual fund service firms to improve the brand resonance to investors.

The paper explained modeling BRS using ANP technique which helps organizations quantify the brand resonance effectively.

One of the most effective ways information retrieval (IR) systems including Web search engines can improve relevance performance is to provide their users with tools for facilitating query expansion. Search engines such as Google provide users with keyword suggest tools. This paper aims to investigate users’ criteria in relevance judgment regarding Google’s keywords suggest tool and to see how such keywords would lead to more relevant results from the viewpoint of users.

Through a mixed method approach, quantitative and qualitative data were collected from 60 postgraduate students at Ferdowsi University of Mashhad, Iran, using four different instruments (questionnaire, thinking aloud technique, query logs and interviews).

Among other criteria, the “relation between suggested keywords and the information need” (with the mean rate of 3.53 of four) was considered the most important by searchers in selecting suggested keywords for query expansion. Also, the “relation between suggested Keywords and the retrieved items” (with the mean rate of 3.62) was considered the second most important criterion in judging the relevance of the retrieved results. The participants agreed that the suggested keywords by Google improved the retrieval relevance. The content analysis of the participants’ aloud-thinking sessions and the interviews approved such findings.

This research makes a contribution to the need of designers of IR systems regarding the use of add words for query expansion. It also helps librarians how to instruct searchers with expanding their queries to retrieve more relevant results. Another contribution of the study is the identification of a number of new relevance judgment criteria for Web-based environments.

The paper seeks to evaluate the prescriptive value of ethical decision‐making models.

The paper explores various types of models in the ethics literature in concert with knowledge from the decision sciences literature to develop a tentative list of evaluative criteria that might be applied to prescriptive models. It then applies these criteria to one prescriptive model from the ethics literature, developed by Petrick and Quinn, in an attempt to demonstrate the value of more comprehensive evaluation. It closes by considering future research aimed at the evaluation of ethical decision‐making models as well as research needed to validate the Petrick and Quinn model.

This critique finds that the Petrick‐Quinn judgment integrity model satisfies most of the criteria discussed in the ethical decision‐making literature. The primary opportunities for refining the Petrick‐Quinn model as a prescriptive framework for ethical decision making are: articulating the operational judgment component of the model as a formal, quantitative decision analysis, and conducting research to assess the real‐world utility of the model.

While there has been a proliferation of research concerning business ethics, little attention has been focused on evaluating the utility of ethical decision‐making models. Accordingly, this paper advances theory, research and practice regarding ethical decision making in organizations.

The purpose of this paper is to examine the effects of a principles-based accounting standard with guidance (principles-with-guidance approach), stringency (conservativeness) of numerical thresholds, and incentives (high or low debt-equity ratio environment) on the judgments of Japanese auditors in a lease accounting setting.

To reflect Japanese auditors’ judgmental features, this study adopts a quasi-experiment that uses both manipulation for different environments (i.e. stable or critical financial condition) and perceptions about the importance of “principles” and “guidance” in different types of lease accounting standards (i.e. substantially all, approximately 90 and 88 percent).

“Principle” (substantially all) has a positive effect, while “guidance” (approximately 90 percent) has a negative effect on encouraging Japanese auditors to capitalize lease transactions. “More stringent guidance” (approximately 88 percent) has a positive effect only when clients are in critical financial conditions. Other findings indicate that judgments of Japanese auditors are strongly influenced by their colleagues’ perceived judgments.

This is the first quasi-experiment to examine Japanese auditors’ professional judgments using a lease accounting setting. To find out whether Japanese auditors interpret and apply International Financial Reporting Standards (IFRS) in the similar manner as their counterparts in other countries will be important when Japanese policymakers make their final decision regarding the adoption of IFRS. The discussion and findings also contribute to the International Accounting Standards Board (IASB) with regard to enhancing global convergence of financial reporting.

Affirmative consent (AC) policies require potential sexual partners to clearly and positively confirm that they want to engage in sexual behavior – in contrast to standard “no means no” policies, which typically define consent through resistance. AC policies might not be effective because they do not align well with typical scripts of how consent is given in practice. This study aims to compare participants’ judgments as to what constitutes sexual assault, using either an AC policy or a standard “no means no” policy.

Participants read 16 scenarios depicting various male-female sexual encounters and applied either an AC or a standard “no means no” policy to determine whether the encounter was consensual.

When an AC policy was used, participants were more likely to judge the scenario as sexual assault. Aspects of the scenario (which reflect AC policy criteria), such as the type of communication (verbal or nonverbal), clarity of communication (clear or unclear) and resistance (high or low) also affected judgments of the scenario. Relationship type (stranger vs acquaintance) did not affect judgments. Students were more likely to perceive the scenarios as sexual assault than community members; they also perceived differences between scenarios based on verbal communication and clarity more than community members. Finally, there was no main effect of participant gender, however, men perceived differences between scenarios based on verbal communication type, whereas women did not.

Findings indicate that participants are generally able to apply AC policies correctly, even though AC criteria do not generally align with common sexual scripts.

This is the first study known to test whether decision-makers can properly apply criteria outlined in AC policies and whether the application of these policies affect decisions-makers judgments as to whether a sexual encounter is consensual or assault.

Purpose – To provide strategic management scholars, particularly graduate students and new faculty members, a novel approach, the lens model, to investigate emerging economies phenomena.

Design/methodology/approach – Based on a review of the strategic management literature and a search of the strategy databases and journals, I propose the lens model approach and discuss its origins, development, and designs since its introduction. It has been used extensively in such fields as cognitive psychology, social psychology, medicine, agriculture, human resources management, and organizational behavior. Besides the wide application, it has relevance for strategic management research.

Findings – An illustrative study and a summary of the approach from a previous study in one prominent journal are also provided as guides. I conclude by providing recommendations on what to consider in using the approach for the study of emerging economies.

Research limitations/implications – In addition to the strengths of the approach, its weaknesses are also discussed. Suggestions on maximizing the potential of the approach are also discussed.

Practical implications – The approach is an invaluable source particularly for graduate students of strategy who often are unfamiliar with microlevel approaches. They can use it to supplement approaches for strategic management.

Originality/value – To my knowledge, this chapter is the first to discuss the lens model approach in the strategic management literature. In that regard, it fills a gap in the research methodology literature. It can therefore help graduate students improve their careers.

Academic social (question and answer) Q&A sites are now utilised by millions of scholars and researchers for seeking and sharing discipline-specific information. However, little is known about the factors that can affect their votes on the quality of an answer, nor how the discipline might influence these factors. The paper aims to discuss this issue.

Using 1,021 answers collected over three disciplines (library and information services, history of art, and astrophysics) in ResearchGate, statistical analysis is performed to identify the characteristics of high-quality academic answers, and comparisons were made across the three disciplines. In particular, two major categories of characteristics of the answer provider and answer content were extracted and examined.

The results reveal that high-quality answers on academic social Q&A sites tend to possess two characteristics: first, they are provided by scholars with higher academic reputations (e.g. more followers, etc.); and second, they provide objective information (e.g. longer answer with fewer subjective opinions). However, the impact of these factors varies across disciplines, e.g., objectivity is more favourable in physics than in other disciplines.

The study is envisioned to help academic Q&A sites to select and recommend high-quality answers across different disciplines, especially in a cold-start scenario where the answer has not received enough judgements from peers.