The Antecedents of Preventive Health Care Behavior: An Empirical Study

Jayanti, R.; Burns, Alvin C.

doi:10.1177/0092070398261002

Cited by 420 publications

(357 citation statements)

References 20 publications

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“…Two items were also added under the facilitating conditions to capture the convenience of the locations of the TM unit and the human resources (nontechnical) available to patients. Health consciousness was measured at baseline using a scale (4 items) adapted from Jayanti & Burns [16], and the 12-item instrument developed by Ware, Kosinski & Keller [40] was used to assess the participants' Quality of Life. A copy of the instruments may be obtained upon request.…”

Section: Survey Instrument and Data Sourcesmentioning

confidence: 99%

Telemonitoring for Seniors with Chronic Heart Failure: Patient Self-Care, Empowerment, and Adoption Factors

Jaana

Tamim

Sherrard

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Section: Survey Instrument and Data Sourcesmentioning

confidence: 99%

Telemonitoring for Seniors with Chronic Heart Failure: Patient Self-Care, Empowerment, and Adoption Factors

Jaana

Tamim

Sherrard

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…However, the fact is that health awareness and knowledge have little influence on individual exercise participation despite various health promotion campaign organised by the government agencies. In fact, an empirical study conducted by Jayanti and Burns (1998) demonstrates that health knowledge has no significant effect on preventive health care behaviour. There might possibly be other social and/or psychology factors that influence individual exercise participation.…”

Section: Resultsmentioning

confidence: 99%

“…For instance, Jayanti and Burns (1998) develop and test a model of preventive health care behaviour basing on the HBM model. Grubbs and Carter (2002) also modify the HBM framework in an attempt to examine current exercise habits and perceived benefits and barriers to exercise.…”

Section: Health Belief Model (Hbm)mentioning

confidence: 99%

Exercise as a Healthy Lifestyle Choice: A Review and Avenues for Future Research

Fen¹,

Hong²

2009

IBR

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The health benefits of exercising and the prevalent sedentary lifestyle give a strong reason for the research into the determinants of exercise behaviour. The present paper reviews several health-related behavioural theories and models that have been applied to understand the factors influencing physical activity or exercise participation and suggest avenues for future research. In particular, a review of literature provides strong empirical support for the theory of planned behaviour, yet several theoretical issues need to be resolved to aid in the development of a more comprehensive health-related model that can explain and predict exercise behaviour. The present paper highlights that there is a need to develop and empirically test a more integrative model of exercise behaviour from consumer behaviour perspective. Besides, the conceptualisation of TPB measures and sufficiency issues related to the model need to be addressed prior to the adoption of the TPB model.

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“…In this study, we examined the item-total correlations to ensure that the factors have acceptable convergent validity. A factor has adequate convergent validity if all of its item-total correlations equal or exceed the recommended criterion of 0.40 (Jayanti & Burns, 1998). Table 5 shows that all item-total correlations of the variables are more than the recommended criterion of 0.40.…”

Section: Reliability and Validitymentioning

confidence: 99%

Student Acceptance of Knowledge Management Systems: Evidence from a Canadian Business School

Hossain¹,

Ouédraogo²,

Rezania³

2013

IJBM

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This study investigates the factors affecting the perceived usefulness of and the intention to use knowledge management (KM) systems by students. The research model posits that the intention to use KM systems in higher education depends on perceived usefulness, perceived user-friendliness, organizational rewards, and community of practice. A survey method was used to collect the data for the study. We used a convenience sample consisting of undergraduate students enrolled in various business courses in a Canadian University. The data obtained from a sample of 120 students were initially factor analyzed to identify the relevant factors. Separate factor analysis was conducted for each of three types of measures -the independent measures, the intermediate measures, and the dependent measure. In order to test the proposed hypotheses, we employed the method of multiple regression analysis. The findings suggest that organizational rewards and KM system characteristics positively impact perceived usefulness, and that user-friendliness, usefulness, organizational rewards, and community of practice are significant predictors of intention to use KM system. This analysis reveals that business schools need to focus on usefulness and practical relevance of knowledge captured in knowledge management systems. This is in line with the current debate in management education regarding the appropriateness of methods employed to teach business knowledge. Organizational rewards being a significant predictor of intention to use KM systems corroborate the expectancy theory. Therefore, it is important for business schools to communicate on the usefulness of their KM systems but also to encourage its usage through different incentives.

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The Antecedents of Preventive Health Care Behavior: An Empirical Study

Cited by 420 publications

References 20 publications

Telemonitoring for Seniors with Chronic Heart Failure: Patient Self-Care, Empowerment, and Adoption Factors

Telemonitoring for Seniors with Chronic Heart Failure: Patient Self-Care, Empowerment, and Adoption Factors

Exercise as a Healthy Lifestyle Choice: A Review and Avenues for Future Research

Student Acceptance of Knowledge Management Systems: Evidence from a Canadian Business School

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