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The purpose of this study is to investigate children’s school lunchboxes and explore the influence of carer’s perceived benefits and barriers towards healthy eating on the food contents packed for lunch.

Drawing on exchange theory, the study explores the relationship between carer’s perceived benefits and barriers towards healthy eating and the lunchbox contents a carer packs for their child. An online survey was completed by 876 parents and carers. Statistical analysis techniques, including one-way ANOVA and exploratory factor analysis (EFA) were used to analyse the data.

The analysis revealed that perceived benefits and barriers towards packing healthy foods had a significant impact on the reported contents packed for lunch. Results indicate the segment with the highest perceived benefits and the lowest perceived barriers towards packing healthy lunches reported packing healthier foods than the remaining three segments.

Social marketers should develop interventions to promote the benefits of healthy eating, while overcoming the perceived (and real) barriers that prevent healthy lunches from being packed. Study limitations and future research directions are outlined.

Drawing on exchange theory, the current study demonstrated how simultaneous measurement of benefits and barriers that are later divided into high and low groups impacts lunchbox packing behaviours (Nelson et al., 2010). This study contributes to the literature providing further empirical evidence that use of commercial marketing theories in social marketing is warranted and that theoretically derived segmentation approaches are available for social marketing practitioners.

To present a comprehensive literature review of human resource information systems (HRIS) and to report the results of a survey on the implementation of HRIS in Hong Kong.

A structured questionnaire was designed, pre‐tested, modified, and used to capture data on a cross‐section of HRIS users in Hong Kong. The questionnaire was pilot‐tested by practicing HRIS consultants and by HR and MIS managers. Based on the feedback from the pilot‐test, the questionnaire was modified and a final questionnaire was developed and mailed to companies in Hong Kong.

Most Hong Kong industries perceived that the greatest benefits to the implementation of HRIS were the quick response and access to information that it brought, and the greatest barrier was insufficient financial support. Moreover, there was a statistically significant difference between HRIS adopters and non‐adopters, and between small, medium, and large companies, regarding some potential benefits and barriers to the implementation of HRIS.

Further research should address the status of internet/intranet‐based HRIS. An internet/intranet‐based HRIS will undoubtedly be of much more benefit than the traditional HRIS, but its adoption will pose some challenges to practitioners.

Provides some insights into the implementation of HRIS by Hong Kong companies, which should help HR practitioners acquire a better understanding of the current status, benefits, and barriers to the implementation of HRIS.

Little research has been done to address the perceived benefits and potential barriers to the implementation of HRIS. This study is timely and important in that it examines the current status of HRIS in Hong Kong. It also compares differences in perception between HRIS adopters and non‐adopters as well as in the size of organizations in relation to the adoption of HRIS.

The main objective of this study is to develop a framework for: identifying the reasons for using e‐commerce; understanding the implications of e‐commerce in companies; and implementing and applying e‐commerce successfully for improved organizational competitiveness and success.

A structured questionnaire was designed, pre‐tested, modified, and used to capture data on e‐commerce in Hong Kong. Based on the feedback from the pilot‐test, the questionnaire was modified and a final questionnaire was developed and mailed to companies in Hong Kong. In the survey, conducted with Hong Kong companies, the perceived benefits and perceived barriers of e‐commerce implementation are discussed.

The conceptual model based on the analysis of literature and some reported case experiences is developed using the current issues that have been highlighted as important e‐commerce success factors of implementation. The major factors that influence the application and implementation of e‐commerce are: perceived usefulness of web; perceived barriers of the internet for e‐commerce; usage of the internet; and perceived benefits of the internet for e‐commerce. In addition to this, country‐specific factors such as culture, technology competency, government policy, educational level, influence the level of application of e‐commerce.

The framework is the result of the validation of the theoretical model, together with the conclusions of the empirical analysis conducted in Hong Kong. The empirical analysis supported some of the assumptions of the theoretical model, whereas others were not supported. Based on the feedback received from respondents, the model has been revised to reflect these practical considerations.

Little research has been done to address the perceived benefits and potential barriers to e‐commerce implementation in Hong Kong. This study is a timely and important one in that examines the current status of e‐commerce implementation in Hong Kong. A generic framework is presented with the objective of supporting the application and implementation of the internet for e‐commerce.

The article aims to identify the association between each smart home service category's benefits and barriers to their adoption. The results seek to identify efficient approaches that motivate users to adopt smart homes services and support suppliers to establish strategies to expand and optimize smart home technologies.

The research used the chi-square test of independence to reveal the association between the benefits and barriers perceived by the users during smart home services implementation. Furthermore, the statistical analysis using reliable evidence based on 122 articles reported in the literature provides valuable knowledge for smart home implementation.

The results reveal which barriers and benefits in the smart home are essential for implementing each type of service. Therefore, the association between barriers and benefits with smart home services implementation can support the dissemination of smart home technologies.

The article provides evidence to develop strategies for implementing smart home services, supporting companies with guidelines to be more assertive in disseminating smart homes technologies.

Using the literature as a data source and raising the associations through the chi-square test of independence, the methodology provides a high level of generalization and strong evidence regarding the association of smart home benefits or barriers associated with every smart home service.

Drawing on the Health Belief Model (HBM), this study aims to investigate the roles of health beliefs (i.e. perceived susceptibility, perceived severity, perceived benefits, perceived barriers, health self-efficacy and cues to action) in promoting college students’ smartphone avoidance intention.

Empirical data were collected through a cross-sectional survey questionnaire administered to 4,670 student smartphone users at a large university located in Central China. Further, a two-step Structural Equation Modeling was conducted using AMOS 22.0 software to test the hypothesized relationships in the research model.

Analytical results indicate that (1) perceived susceptibility, perceived severity, perceived benefits and health self-efficacy positively influence users’ smartphone avoidance intention; (2) perceived barriers negatively influence smartphone avoidance intention, while (3) cues to action reinforce the relationships between perceived susceptibility/perceived benefits and smartphone avoidance intention, but attenuate the relationships between perceived barriers/health self-efficacy and smartphone avoidance intention.

This study demonstrates that HBM is invaluable in explaining and promoting users’ smartphone avoidance intention, thereby extending extant literature on both HBM and smartphone avoidance.

Research on smartphone avoidance is still in a nascent stage. This study contributes to the field by offering a fresh theoretical lens for pursuing this line of inquiry together with robust empirical evidence.

The health belief model (HBM) is the behavioral change theory most widely used in health behavior studies. Several studies have identified the limitations of this model, one of which concerns the validity in predicting behavioral changes. The purpose of this paper, scoping review, is to map the validity of HBM variables in predicting behavioral changes based on available synthesized evidences.

A scoping review was conducted using the Arksey and O’Malley’s framework. PubMed, Health Evidence, Cochrane Database of Systematic Reviews, ScienceDirect and Google Scholar were searched using a combination of keywords: health belief model, review, systematic review and meta-analysis between February 15 and March 18, 2016.

Of the 1,457 articles, 4 met the inclusion criteria. All results showed that HBM variables were consistently related to behaviors and the strength of the correlation were varied. Perceived barriers and perceived benefits were the strongest predictor, while perceived severity was the weakest. The association between HBM variables and behaviors was moderated by some aspects of behavioral outcomes, the study design and the time interval between measurement of the HBM variables and behavior.

Although the four main variables of HBM have been shown to be related to behavior, the overall outcomes are varied and have not demonstrated conclusive evidence during the last ten years. The results of this scoping review imply the need for a systematic review and meta-analysis of the results of recent studies. In addition, more longitudinal studies are needed to ensure the validity of HBM variables by considering any possible moderators.

Littering has been identified as a significant social issue in India that has negative impact on the environment as well as public health. Social marketing is a powerful tool for changing and sustaining pro-environmental behaviors, but so far no research has been found on the application of social marketing on changing littering behavior in India. This paper aims to integrate the two widely used social marketing models, health belief model (HBM) and theory of planned behavior (TPB), with an extra factor, environmental factors, in a holistic model to understand and predict anti-littering behavior in India.

In total, 750 individuals were interviewed at 34 locations across the states of New Delhi and Punjab (India) in a field survey. For data analysis, confirmatory factor analysis and structural equation model techniques in AMOS 21.0 have been used.

The results of the study suggest that the perceived benefits and perceived barriers have a significant direct effect on the attitude toward anti-littering behavior. No direct impact of perceived threat has been found on attitude toward anti-littering behavior. The results also confirm the role of attitude, subjective norms and self-efficacy in influencing the anti-littering intention with attitude and subjective norms having a greater impact on intention as compared to self-efficacy. Furthermore, the results also highlight that the environmental factors and intention carry more weights than perceived behavioral control in influencing anti-littering behavior. Recognizing the importance of sequential mediators in the present study, the results of the serial mediation analysis revealed that attitude and intention sequentially mediate the path linking perceived benefits, perceived barriers and anti-littering behavior.

To the best of the authors’ knowledge, the current study in terms of theory building appears to be the first to integrate social marketing models HBM and TPB to explain and understand not only anti-littering behavior but also for setting a platform of behavior change in a larger context.

The purpose of this paper was to develop a predictor model for an online nutrition course on sugar reduction. The proposed model is based on health knowledge, healthy behavior, social support, self-efficacy, attitude and the health belief model in relation to people’s behavior within a Facebook group. Subsequently, the model can be used to design a robust online training course for human resources, thereby reducing the training costs which managers have experienced as being expensive.

A single pre-post experimental group design was used. Pre and post data were collected from 100 Facebook users using an online questionnaire, within a three-week intervention.

The results show a significant difference between pre- and post-test scores of health knowledge and healthy behavior, indicating an effective intervention. In addition, perceived barriers, attitude, self-efficacy and emotional support were significant predictors of the healthy behavior model, predicting 70 percent of healthy behavior. However, knowledge had no significant relationship with any of the three dependent variables (self-efficacy, attitude and healthy behavior) proposed.

This model has proved to be an effective intervention which can be used in online training of human resources, because the content of the training is known from the predictor model, thereby greatly reducing the training cost, since everything is done online. Moreover, the provided model and predictors show that the content to be delivered in the training program is not knowledge but perceived barriers, attitude, self-efficacy and emotional support.

This study is one of the first to propose an integrative model that suggests attitude and self-efficacy as key predictors of healthy behavior whereas knowledge is not.

This paper studies the critical factors from the perspectives of technological quality, personal compatibility and organisational commitment using the technological adoption framework (TAF). The proposed TAF studies the critical factors that influence the intention to use building information modelling (BIM) taking into consideration of the “Perceived Ease of Use (PEU)” and “Perceive Usefulness (PU).”

The proposed study is a quantitative research study using the TAF model and the statistical analysis using “Partial Least Squares-Structural Equation Modelling (PLS-SEM).” The questionnaires are developed based on the literature review study and disseminated to the stakeholders in the Malaysian construction industry, including consultants, contractors, and clients. The data collected are analysed using PLS-SEM to identify the correlation between the critical factors influencing BIM adoption and the moderation influence of the PEU and PU towards the “Intention to Use (IU)” BIM.

The data collected from 185 construction industry stakeholders in Malaysia was utilised to develop the structural equation model. The measurement model was analysed in terms of composite reliability, discriminant validity, and collinearity issues. Subsequently, the SEM is analysed, and the findings on the hypothesis on the correlation between the critical factors and the intention to use BIM are examined. The study also examines the mediation effects of the PEU and PU towards the BIM adoption in the Malaysian construction industry.

This research conceptual framework, TAF, is derived from the integration of the existing underpinning theories of the technological adoption model and the technology–organisation–environment framework. This new TAF can be used for the study of new technology adoption. This cross-sectional research study is in line with the “Construction 4.0 Strategic Plan” in Malaysia to establish the current BIM adoption scenario and formulate the framework to promote incentives to promote BIM adoption.

The increasing importance of health food sales and the growing number of consumers purchasing health foods necessitates that marketers develop enhanced understanding of health food consumers. The purpose of this paper is to provide a theoretical extension to the health belief model (HBM) that integrates personal stress and environmental cues (visible health problems) with its constructs.

Data were collected through a quantitative face-to-face survey of 384 health food consumers in Taiwan, and structural equation modelling was used to analyse the data.

The results show that the perceived benefits and barriers of health foods are critical antecedents of continued-consumption intention. Personal stress and visible health problems substantially influence consumers’ perceived susceptibility to and severity of health problems, and perceived susceptibility consequently leads to consumer continued consumption. However, the results indicate an irrelevant relationship between perceived severity of health problems and continued-consumption intentions.

Based on the HBM, the authors integrated perceived stress and visible health problems into the health food consumer research. The findings can improve the understanding of managers in the health food market regarding the role that stress and visibility play in consumer decisions.