An exploratory study of health scientists’ data reuse behaviors

2017 ◽  
Vol 69 (4) ◽  
pp. 389-407 ◽  
Author(s):  
Soohyung Joo ◽  
Sujin Kim ◽  
Youngseek Kim
Keyword(s):  
Organizational Support ◽  
Exploratory Study ◽  
Scientific Data ◽  
Perceived Usefulness ◽  
Data Reuse ◽  
Health Science ◽  
Equation Modeling ◽  
Survey Method ◽  
Research Model ◽  
Content Type

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.

The role of data-reuse experience in biological scientists’ data sharing: an empirical analysis

2020 ◽  
Vol 38 (1) ◽  
pp. 186-208
Author(s):  
Ayoung Yoon ◽  
Youngseek Kim
Keyword(s):  
Data Sharing ◽  
Perceived Risk ◽  
Structural Equation ◽  
Subjective Norms ◽  
Data Reuse ◽  
Survey Method ◽  
Research Model ◽  
Content Type ◽  
The Usa ◽  
The Relationship

Purpose The purpose of this paper is to investigate how scientists’ prior data-reuse experience affects their data-sharing intention by updating diverse attitudinal, control and normative beliefs about data sharing. Design/methodology/approach This paper used a survey method and the research model was evaluated by applying structural equation modelling to 476 survey responses from biological scientists in the USA. Findings The results show that prior data-reuse experience significantly increases the perceived community and career benefits and subjective norms of data sharing and significantly decreases the perceived risk and effort involved in data sharing. The perceived community benefits and subjective norms of data sharing positively influence scientists’ data-sharing intention, whereas the perceived risk and effort negatively influence scientists’ data-sharing intention. Research limitations/implications Based on the theory of planned behaviour, the research model was developed by connecting scientists’ prior data-reuse experience and data-sharing intention mediated through diverse attitudinal, control and normative perceptions of data sharing. Practical implications This research suggests that to facilitate scientists’ data-sharing behaviours, data reuse needs to be encouraged. Data sharing and reuse are interconnected, so scientists’ data sharing can be better promoted by providing them with data-reuse experience. Originality/value This is one of the initial studies examining the relationship between data-reuse experience and data-sharing behaviour, and it considered the following mediating factors: perceived community benefit, career benefit, career risk, effort and subjective norm of data sharing. This research provides an advanced investigation of data-sharing behaviour in the relationship with data-reuse experience and suggests significant implications for fostering data-sharing behaviour.

Engineering researchers’ data reuse behaviours: a structural equation modelling approach

2017 ◽  
Vol 35 (6) ◽  
pp. 1141-1161 ◽  
Author(s):  
Yeon Kyoung Joo ◽  
Youngseek Kim
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Theoretical Framework ◽  
Perceived Usefulness ◽  
Data Reuse ◽  
Survey Method ◽  
Data Repositories ◽  
Content Type ◽  
Engineering Community ◽  
Practical Implications

Purpose The purpose of this research is to investigate the factors that influence engineering researchers’ data reuse behaviours. Design/methodology/approach The data reuse behaviour model of engineering researchers was investigated by using a survey method. A national survey was distributed to engineering researchers in the USA, and a total of 193 researchers responded. Findings The results showed that perceived usefulness, perceived concerns and norms of data reuse have significant relationships with attitudes toward data reuse. Also, attitudes toward data reuse and the availability of data repositories were found to have significant influences on engineering researchers’ intention to reuse data. Research limitations/implications This research used a combined theoretical framework by integrating the theory of planned behaviour (TPB) and the technology acceptance model (TAM). The combination of the TPB and the TAM effectively explained engineering researchers’ data reuse behaviours by addressing individual motivations, norms and resource factors. Practical implications This research has practical implications for promoting more reliable and beneficial data reuse in the engineering community, including encouraging positive motivations toward data reuse, building community norms of data reuse and setting up more data repositories. Originality value As prior research on data reuse mainly used interviews, this research used a quantitative approach based on a combined theoretical framework and included diverse research constructs which were not tested in the previous research models. As one of the initial studies investigating data reuse behaviours in the engineering community, the current research provided a better understanding of data reuse behaviours and suggested possible ways to facilitate engineering researchers’ data reuse behaviours.

Internet researchers’ data sharing behaviors

2018 ◽  
Vol 42 (1) ◽  
pp. 124-142 ◽  
Author(s):  
Youngseek Kim ◽  
Seungahn Nah
Keyword(s):  
Social Norms ◽  
Data Sharing ◽  
Positive Impact ◽  
Scientific Data ◽  
Data Reuse ◽  
Equation Modeling ◽  
Data Repository ◽  
Data Repositories ◽  
Content Type ◽  
And Behaviors

Purpose The purpose of this paper is to examine how data reuse experience, attitudinal beliefs, social norms, and resource factors influence internet researchers to share data with other researchers outside their teams. Design/methodology/approach An online survey was conducted to examine the extent to which data reuse experience, attitudinal beliefs, social norms, and resource factors predicted internet researchers’ data sharing intentions and behaviors. The theorized model was tested using a structural equation modeling technique to analyze a total of 201 survey responses from the Association of Internet Researchers mailing list. Findings Results show that data reuse experience significantly influenced participants’ perception of benefit from data sharing and participants’ norm of data sharing. Belief structures regarding data sharing, including perceived career benefit and risk, and perceived effort, had significant associations with attitude toward data sharing, leading internet researchers to have greater data sharing intentions and behavior. The results also reveal that researchers’ norms for data sharing had a direct effect on data sharing intention. Furthermore, the results indicate that, while the perceived availability of data repository did not yield a positive impact on data sharing intention, it has a significant, direct, positive impact on researchers’ data sharing behaviors. Research limitations/implications This study validated its novel theorized model based on the theory of planned behavior (TPB). The study showed a holistic picture of how different data sharing factors, including data reuse experience, attitudinal beliefs, social norms, and data repositories, influence internet researchers’ data sharing intentions and behaviors. Practical implications Data reuse experience, attitude toward and norm of data sharing, and the availability of data repository had either direct or indirect influence on internet researchers’ data sharing behaviors. Thus, professional associations, funding agencies, and academic institutions alike should promote academic cultures that value data sharing in order to create a virtuous cycle of reciprocity and encourage researchers to have positive attitudes toward/norms of data sharing; these cultures should be strengthened by the strong support of data repositories. Originality/value In line with prior scholarship concerning scientific data sharing, this study of internet researchers offers a map of scientific data sharing intentions and behaviors by examining the impacts of data reuse experience, attitudinal beliefs, social norms, and data repositories together.

Green human resource management in nonprofit organizations: effects on employee green behavior and the role of perceived green organizational support

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed Aboramadan ◽  
Yasir Mansoor Kundi ◽  
Annika Becker
Keyword(s):  
Knowledge Sharing ◽  
Organizational Support ◽  
Nonprofit Sector ◽  
Helping Behavior ◽  
Equation Modeling ◽  
Research Model ◽  
Voice Behavior ◽  
Content Type ◽  
Knowledge Sharing Behavior ◽  
Sharing Behavior

PurposeBuilding on the theories of social exchange and organizational support, this study proposes a research model to investigate the impact of green human resources management (GHRM) on nonprofit employees' green work-related outcomes, namely green voice behavior, green knowledge-sharing behavior and green helping behavior. In the model, perceived green organizational support (PGOS) is theorized and employed as an intervening mechanism between the examined linkages.Design/methodology/approachData were collected in two different waves from 408 employees working in the Palestinian nonprofit sector. Covariance based-structural equation modeling was used to validate the study's research model and to examine the hypotheses.FindingsThe results indicated that GHRM is positively associated with green voice behavior, green knowledge-sharing behavior and green helping behavior. Moreover, the results show that PGOS exhibits a significant mediation effect between the aforesaid links. This study thus provides initial empirical evidence in the field of GHRM, with particular focus on the nonprofit sector.Research limitations/implicationsThis research provides a roadmap to nonprofit managers and practitioners on how GHRM can encourage employees to speak up, share information and help others in the environmental and green domain. By supporting nonprofit managers strengthening green employee behavior, it provides an additional source to fostering intrinsically motivated behaviors in the workplace.Originality/valueIn response to urgent environmental threats, this study contributes to green and sustainable management research with a focus on GHRM, thereby providing initial empirical research from a nonprofit perspective.

Consumer attitudes toward facial recognition payment: an examination of antecedents and outcomes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Van Thac Dang ◽  
Ninh Nguyen ◽  
Hoang Viet Nguyen ◽  
Hoang Nguyen ◽  
Le Van Huy ◽  
...  
Keyword(s):  
Facial Recognition ◽  
Emerging Market ◽  
Consumer Attitudes ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Survey Method ◽  
Payment Method ◽  
Content Type ◽  
Hedonic Shopping Value ◽  
Hedonic Shopping

PurposeFacial recognition payment (FRP) has been recently introduced as a new cashless payment method in retail store context. Anchored on information systems and consumer theories, this research aims to investigate the key antecedents and outcomes of consumer attitudes toward this innovative payment method.Design/methodology/approachThis research used a survey method to obtain data from 795 consumers at retail stores in China. The data were then analyzed by different statistical methods, including descriptive statistics, reliability analysis and structural equation modeling.FindingsResults show that perceived usefulness, perceived ease of use and perceived innovativeness positively affect consumer attitudes toward FRP, while perceived risk negatively impacts such attitudes. In addition, consumer attitudes enhance store satisfaction, and hedonic shopping value plays a mediating role in this relationship.Practical implicationsThis study encourages retailers to adopt FRP that can enhance consumer hedonic shopping value and satisfaction.Originality/valueThis study contributes to the literature by explaining both the antecedents and the outcomes of consumer attitudes toward FRP in retail context. The study also provides fresh insights into how such attitudes can improve consumers' shopping values and satisfaction in an emerging market.

Investigating the factors of hospitality company-branded Line stickers that influence users’ attitudes toward hospitality companies

2018 ◽  
Vol 30 (3) ◽  
pp. 1808-1826 ◽  
Author(s):  
Hsiu-Yuan Wang
Keyword(s):  
Social Presence ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Business Strategies ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
New Research ◽  
The Right ◽  
Hospitality Managers

Purpose The purpose of this paper is to examine a new research model which includes both hedonic and utilitarian determinants that influence Line users’ attitudes toward hospitality companies that offer free Line stickers for potential users. Design/methodology/approach To target the right population, Line users who had used hospitality company-branded Line stickers are recruited as participants. Data from 372 usable questionnaires are tested against the research model by using the structural equation modeling approach. Findings The results show that all of the proposed variables, perceived usefulness, perceived social presence, perceived richness, perceived enjoyment, perceived novelty and perceived appeal, were found to be critical factors significantly influencing users’ attitudes. Research limitations/implications This study targets Line users who had experiences in using hospitality company-branded Line stickers. Therefore, a validation using another large sample gathered elsewhere is required to generalize the findings. Practical implications The findings can give hospitality managers an increased understanding of the attitudes of Line users toward the companies providing stickers to them; the results may be used as a guideline to develop more appropriate business strategies for hospitality organizations with which to promote their products/services. Originality/value The proposed model is new; little research has been done on examining Line users’ attitudes toward hospitality companies that offer free Line stickers for users. This study contributes to an understanding of the factors that actually influence users’ attitudes toward those hospitality companies offering brand Line stickers.

Determinants of virtual classroom adoption in Jordan: the case of princess Sumaya university for technology

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Kasem Alrousan ◽  
Amro Al-Madadha ◽  
Mohammad Hamdi Al Khasawneh ◽  
Adiy Adel Tweissi
Keyword(s):  
Organizational Support ◽  
Behavioral Intentions ◽  
Virtual Classroom ◽  
Arab Countries ◽  
Learning System ◽  
Equation Modeling ◽  
Survey Method ◽  
Virtual Classrooms ◽  
Content Type ◽  
E Learning

Purpose The purpose of this study is to investigate the factors that affect students’ behavioral intentions to use virtual classrooms at Princess Sumaya University for Technology (PSUT) in Jordan. Design/methodology/approach A quantitative research approach was adopted, an online survey method was used and the data were collected among students at PSUT in Jordan. A total of 511 responses were usable for analysis. A structural equation modeling partial least squares technique was used to examine the hypothesized model. Findings The findings reveal that the proposed factors have direct and indirect relationships with behavioral intentions to use virtual classrooms. They show that students’ satisfaction has a direct influence on behavioral intention, while other variables such as instructor characteristics, virtual classroom quality, perceived self-efficacy, perceived organizational support, perceived ease of use and perceived usefulness have an indirect effect on behavioral intentions to use virtual classrooms. Research limitations/implications The study was conducted at PSUT in Jordan, which could limit the generalizability of the findings. Furthermore, the present study measured students’ behavioral intentions to use virtual classrooms and future research should consider the actual use of virtual classrooms. Practical implications The findings of this study offer significant and useful information to policymakers, instructors, developers and students regarding the use of virtual classrooms in universities. Based on students’ needs and readiness, the findings identify which factors to consider when developing an e-learning system to enhance learning and teaching performance. Originality/value This study extends existing knowledge by developing a conceptual model to identify the key factors of virtual classroom adoption in higher education institutions in Arab countries. This study contributes to the literature in the context of e-learning by validating an extended technology acceptance model from an Arab countries perspective and considering the differences in culture, learning style and physical environment compared to developed countries.

Enhancing supply chain resilience: an empirical investigation

2019 ◽  
Vol 1 (1) ◽  
pp. 47-62 ◽  
Author(s):  
Bardia Naghshineh ◽  
Maryam Lotfi
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Stock Exchange ◽  
Decision Makers ◽  
Equation Modeling ◽  
Survey Method ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
Supply Chain Resilience

PurposeSupply chain resilience (SCR) has recently become an important issue for organizations all around the world. In order to decrease the risk of failures, managers and decision makers are constantly looking for practices to enhance SCR. The purpose of this paper is to propose a research model that mainly focuses on the effect of information sharing (IS) to enhance SCR.Design/methodology/approachSurvey method is used in this research. Data were collected from the supply chain, procurement, executive and IT managers of 82 of Tehran’s stock exchange production companies. Structural equation modeling with SmartPLS3 software is used to analyze the collected data.FindingsResearch results show that IS significantly enhances SCR.Research limitations/implicationsData were collected at one point in time, and therefore a longitudinal study can further investigate the results of this study. The research was carried out in production companies in Iran. Future research can examine the research model in other industry sectors, e.g. services, in other countries to validate the accuracy of the findings.Practical implicationsThe findings of this research should help managers, and decision makers create more resilient supply chains for their own and partners’ organizations.Originality/valueThe research model provides insightful results regarding the significance of IS in the SCR context.

An empirical study of biological scientists’ article sharing through ResearchGate

2018 ◽  
Vol 70 (5) ◽  
pp. 458-480 ◽  
Author(s):  
Youngseek Kim
Keyword(s):  
Academic Culture ◽  
Partial Least Square ◽  
Least Square ◽  
Control Beliefs ◽  
Equation Modeling ◽  
Survey Method ◽  
Control Belief ◽  
Research Model ◽  
Content Type ◽  
And Control

Purpose The purpose of this paper is to investigate how attitudinal, normative and control beliefs influence scientists’ article sharing through ResearchGate. Design/methodology/approach A survey method was employed to examine a research model of scientists’ article sharing through ResearchGate. A total of 264 survey responses from biological scientists in the USA were used to evaluate the research model by using partial least square based structural equation modeling. Findings The results showed that scientists’ attitudinal beliefs (i.e. perceived relationship, reputation and risk), normative beliefs (i.e. subjective norm, perceived academic culture and community norm of article sharing) and control belief (i.e. perceived ease of use) all significantly affect their attitudes toward article sharing and article sharing intentions through ResearchGate. Research limitations/implications The theory of planned behavior (TPB) was used to develop the research model, and the specific research constructs from prior literature were incorporated in the model. The TPB and related research constructs nicely explained biological scientists’ article sharing through ResearchGate. Practical implications This study suggests that academic libraries can better promote their scientists’ article sharing through digital platforms such as institutional repositories as well as scholarly social media. This can be achieved by emphasizing its benefits, including potential relationships or collaborations, positive academic reputation and community norms of article sharing, and by decreasing scientists’ concerns about copyright infringements and effort expectancy involved in article sharing. Originality/value As one of the initial studies in scientists’ article sharing through ResearchGate, this study provides a holistic picture of how attitudinal, normative and control beliefs all affect scientists’ article sharing through ResearchGate.

User acceptance of SaaS-based collaboration tools: a case of Google Docs

2015 ◽  
Vol 28 (3) ◽  
pp. 423-442 ◽  
Author(s):  
Xin Tan ◽  
Yongbeom Kim
Keyword(s):  
Cloud Computing ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Google Docs ◽  
Organizational Settings ◽  
Computing Technologies ◽  
Collaboration Tools

Purpose – The purpose of this paper is to identify and understand factors that influence users’ acceptance of Software-as-a-Service (SaaS) collaboration tools in organizational settings. Design/methodology/approach – This paper develops a research model based on the Expectation Confirmation Model (ECM). Using data collected from a field study of Google Docs, the research model and related hypotheses are tested by structural equation modeling. Findings – Users’ confirmation with expectations positively affect their perceived usefulness and satisfaction level; Users’ perceived usefulness and satisfaction positively affect their intention to continue using such collaboration tools. Users’ prior experience with such tools and their IT skills have a moderating effect on the relationships among confirmation, perceived usefulness, satisfaction, and continuance intention. Research limitations/implications – This study identifies the theoretical foundations of user acceptance of SaaS collaboration tools in the context of mandatory adoption. This empirical study, based on an established theoretical foundation, will help the research community to gain a deeper understanding of user acceptance of cloud computing technologies, in particular, SaaS collaboration tools. Practical implications – The findings of this study can provide vendors and implementing organizations with useful strategies and tactics to enhance users’ acceptance of SaaS collaboration tools. Originality/value – With the increasing popularity of cloud computing technologies, there have been ongoing concerns about the effectiveness of SaaS collaboration tools in organizational settings. This study is one of the first empirical research to examine the factors influencing users’ acceptance of SaaS collaboration tools.

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