News algorithms not only help the authors to efficiently navigate the sea of available information, but also frame information in ways that influence public discourse and…
Abstract
Purpose
News algorithms not only help the authors to efficiently navigate the sea of available information, but also frame information in ways that influence public discourse and citizenship. Indeed, the likelihood that readers will be exposed to and read given news articles is structured into news algorithms. Thus, ensuring that news algorithms uphold journalistic values is crucial. In this regard, the purpose of this paper is to quantify journalistic values to make them readable by algorithms through taking an exploratory approach to a question that has not been previously investigated.
Design/methodology/approach
The author matched the textual indices (extracted from natural language processing/automated content analysis) with human conceptions of journalistic values (derived from survey analysis) by implementing partial least squares path modeling.
Findings
The results suggest that the numbers of words or quotes news articles contain have a strong association with the survey respondent assessments of their balance, diversity, importance and factuality. Linguistic polarization was an inverse indicator of respondents’ perception of balance, diversity and importance. While linguistic intensity was useful for gauging respondents’ perception of sensationalism, it was an ineffective indicator of importance and factuality. The numbers of adverbs and adjectives were useful for estimating respondents’ perceptions of factuality and sensationalism. In addition, the greater numbers of quotes, pair quotes and exclamation/question marks in news headlines were associated with respondents’ perception of lower journalistic values. The author also found that the assessment of journalistic values influences the perception of news credibility.
Research limitations/implications
This study has implications for computational journalism, credibility research and news algorithm development.
Originality/value
It represents the first attempt to quantify human conceptions of journalistic values with textual indices.
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So-Hyun Lee, Su-Jin Choi and Hee-Woong Kim
Social network services (SNS) gifting is a new business model, but many SNS providers continue to face challenges as they explore ways to increase their revenues from gifting. The…
Abstract
Purpose
Social network services (SNS) gifting is a new business model, but many SNS providers continue to face challenges as they explore ways to increase their revenues from gifting. The purpose of this paper is to examine the key factors involved in gift giving via SNS platforms.
Design/methodology/approach
This study adopts a mixed methods approach through qualitative and quantitative research. In the first stage (qualitative study), the authors extract factors from interviews with users of SNS gifting services. In the second stage (quantitative study), the authors interpret decisional factors explored in the first stage on the basis of customer value theory, develop a research model and empirically test it.
Findings
The results show that five factors – convenience of SNS gifting, symbolic representation of SNS gifting, relationship support of SNS gifting, pleasure of SNS gifting, and an SNS gifting norm – directly or indirectly affect SNS gifting decisions.
Research limitations/implications
This study contributes to electronic commerce research by extending the customer value theory and adding to the literature on SNS gifting and gift giving in general.
Practical implications
The study informs SNS providers regarding the promotion of SNS gifting services for revenue generation.
Originality/value
This study is among the first to comprehensively examine decision-making in SNS gifting through the lens of customer value theory.
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Abstract
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Soohyung Joo, Sujin Kim and Youngseek Kim
The purpose of this paper is to examine how health scientists’ attitudinal, social, and resource factors affect their data reuse behaviors.
Abstract
Purpose
The purpose of this paper is to examine how health scientists’ attitudinal, social, and resource factors affect their data reuse behaviors.
Design/methodology/approach
A survey method was utilized to investigate to what extent attitudinal, social, and resource factors influence health scientists’ data reuse behaviors. The health scientists’ data reuse research model was validated by using partial least squares (PLS) based structural equation modeling technique with a total of 161 health scientists in the USA.
Findings
The analysis results showed that health scientists’ data reuse intentions are driven by attitude toward data reuse, community norm of data reuse, disciplinary research climate, and organizational support factors. This research also found that both perceived usefulness of data reuse and perceived concern involved in data reuse have significant influences on health scientists’ attitude toward data reuse.
Research limitations/implications
This research evaluated its newly proposed research model based on the theory of planned behavior using a sample from the community of scientists’ scholar database. This research showed an overall picture of how attitudinal, social, and resource factors influence health scientists’ data reuse behaviors. This research is limited due to its sample size and low response rate, so this study is considered as an exploratory study rather than a confirmatory study.
Practical implications
This research suggested for health science research communities, academic institutions, and libraries that diverse strategies need to be utilized to promote health scientists’ data reuse behaviors.
Originality/value
This research is one of initial studies in scientific data reuse which provided a holistic map about health scientists’ data sharing behaviors. The findings of this study provide the groundwork for strategies to facilitate data reuse practice in health science areas.
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Chien-Wen Shen and Phung Phi Tran
This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news…
Abstract
Purpose
This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.
Design/methodology/approach
To identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.
Findings
The findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.
Research limitations/implications
Since Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.
Originality/value
This study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.
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Sujin Kim, Michelle Hood, Peter Creed and Debra Bath
Using latent profile analysis, the authors explored the career profiles of young adult tertiary students (N = 468, 73.9% women; mean age 20 years) to determine the relative…
Abstract
Purpose
Using latent profile analysis, the authors explored the career profiles of young adult tertiary students (N = 468, 73.9% women; mean age 20 years) to determine the relative importance of traditional career orientation (TCO) and protean career orientation (PCO) beliefs for them.
Design/methodology/approach
Young adults studying at university can aspire to traditional career experiences as they believe organizations will support their professional and career development. However, since the development of newer career models, the TCO model has received little research attention compared to the PCO.
Findings
The authors found that the dominant profile exhibited average levels of TCO, PCO and career competencies, and that this mixed profile was associated with more mature career identity development and greater organizational commitment. A second profile, with low TCO, average PCO and career competencies, showed a similar level of career maturity to the mixed profile, but exhibited less organizational commitment. A third profile, with average TCO, low PCO and career competencies, especially vocational identity awareness, was related to less career development and organizational commitment.
Originality/value
The findings suggest that a mixed traditional-protean orientation is common in young adult tertiary students and that the development of a vocational identity is important for positive career outcomes, regardless of orientation.
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Sujin Song, Hubert B. Van Hoof and Sungbeen Park
This study aimed to investigate the impact of the board composition on financial performance in the restaurant industry from a stewardship theory perspective.
Abstract
Purpose
This study aimed to investigate the impact of the board composition on financial performance in the restaurant industry from a stewardship theory perspective.
Design/methodology/approach
The composition of board was measured as the ratio of inside and outside directors. Firm performance was operationalized as return on assets (operational performance) and Tobin’s q (market-based performance). Panel regression analysis tested the research hypotheses.
Findings
Using data from 25 restaurant firms from 2007 to 2013, the study found an insignificant impact of board composition on operational performance. However, a higher proportion of inside board members increases market-based performance. A higher proportion of outside board members decreases market-based performance.
Practical implications
Supporting the basic tenets of stewardship theory, restaurant companies may consider changing the current practice of having a super-majority of outside directors and increase the inside board members. Because inside board member have greater experience with the organization and the industry, they have a better understanding of the status quo and are better able to respond to opportunities and threats in the environment.
Originality/value
Considering the scarcity of research on how the board composition affects firm performance in the hospitality context, the present study is a forerunner in its exploration of the impact of inside and outside directors on restaurant firms’ performance.
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Sujin Song, Sungbeen Park and Seoki Lee
This study aims to examine how geographic diversification affects firms’ risk by introducing the franchising strategy as a moderator.
Abstract
Purpose
This study aims to examine how geographic diversification affects firms’ risk by introducing the franchising strategy as a moderator.
Design/methodology/approach
The panel regression analysis was conducted with a sample of US restaurant firms. Specifically, a two-way random (or fixed) effects model clustered by firm was used to test hypotheses.
Findings
Findings show that geographic diversification does not significantly affect restaurant firms’ risk. However, franchising aggravates the negative effect of geographic diversification on restaurant firms’ risk, which contradicts the traditional theories of franchising.
Research limitations/implications
The results are expected to contribute to the diversification literature in the hospitality management by providing in-depth evidence for the effects of geographic diversification strategies on firms’ risk. Specifically, the study provides relevant theories for explaining the effect of geographic diversification in the restaurant context by examining franchising, a prominent strategy in the restaurant industry.
Practical implications
The results encourage restaurant firms to improve their managerial capability to react to changes in a geographically wider scope of markets and develop franchising contracts specifically to prevent misbehavior and moral hazard on the part of franchisees.
Originality/value
Considering the lack of research on the effect of geographic diversification on restaurant firms’ risk, this study examines not only the link between geographic diversification and firms’ risk but also a contingent factor, franchising.
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Sujin Yang and Sejin Ha
The main aim of this study is to develop a framework of brand knowledge transfer through sponsorship for sponsors within an insurance industry in South Korea. To this end, this…
Abstract
Purpose
The main aim of this study is to develop a framework of brand knowledge transfer through sponsorship for sponsors within an insurance industry in South Korea. To this end, this study explores: how pre-event brand knowledge and perceived sponsor–event fit contribute to post-event brand knowledge and if and how consumers’ attitudes toward insurance agents play a role as a moderator in the model. Brand knowledge is examined in terms of brand awareness and corporate image.
Design/methodology/approach
Using a paper-and-pencil survey method, data were gathered from consumers (n = 330) who participated in a parenting education program in which an insurance company partnered with a baby food manufacturer in South Korea. Hypotheses were tested using structural equation modeling.
Findings
The results confirm the occurrence of brand knowledge transfer for sponsors via sponsorship. Pre-event brand awareness and corporate image affect post-event brand awareness and corporate image, respectively, while perceived event–sponsor fit affects both attributes of post-event brand knowledge. Further, consumer attitude toward sales agents partially moderates brand knowledge transfer.
Research limitations/implications
Because the data focused on a single segment of sponsorship events in the financial service industry in South Korea, the results must be carefully applied to other forms of sponsorship, industries and cultures.
Practical implications
This study highlights the effectiveness of sponsorship in the financial services industry. By aligning sponsorship events with sponsors’ characteristics and managing their brand knowledge, companies can maximize brand knowledge transfer contributing to brand equity.
Originality/value
This study identifies consumers’ pre-extant attitudes toward sales agents as a moderator that controls brand knowledge transfer, the pre-event and post-event corporate image relationship, specifically.