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Internet marketing underground industry users refer to people who use technology means to simulate a large number of real consumer behaviors to obtain marketing activities rewards illegally, which leads to increased cost of enterprises and reduced effect of marketing. Therefore, this paper aims to construct a user risk assessment model to identify potential underground industry users to protect the interests of real consumers and reduce the marketing costs of enterprises.

Method feature extraction is based on two aspects. The first aspect is based on traditional statistical characteristics, using density-based spatial clustering of applications with noise clustering method to obtain user-dense regions. According to the total number of users in the region, the corresponding risk level of the receiving address is assigned. So that high-quality address information can be extracted. The second aspect is based on the time period during which users participate in activities, using frequent item set mining to find multiple users with similar operations within the same time period. Extract the behavior flow chart according to the user participation, so that the model can mine the deep relationship between the participating behavior and the underground industry users.

Based on the real underground industry user data set, the features of the data set are extracted by the proposed method. The features are experimentally verified by different models such as random forest, fully-connected layer network, SVM and XGBOST, and the proposed method is comprehensively evaluated. Experimental results show that in the best case, our method can improve the F1-score of traditional models by 55.37%.

This paper investigates the relative importance of static information and dynamic behavior characteristics of users in predicting underground industry users, and whether the absence of features of these categories affects the prediction results. This investigation can go a long way in aiding further research on this subject and found the features which improved the accuracy of predicting underground industry users.

This study investigates how different parental mediation strategies (active versus restrictive) and teen Douyin users' privacy risk perceptions are associated with their privacy management behaviors.

An online survey with teen Douyin users (N = 500) was administered in mainland China.

Perceived privacy risk leads teenagers to implement stricter privacy management strategies. However, different types of parental mediation have different impacts on teens' privacy management behaviors. Discussion-based active mediation is positively correlated with privacy disclosure and privacy boundary linkage, while rule-based restrictive mediation is positively associated with privacy boundary control. In addition, active mediation encourages teens to use their own judgment about privacy risks when deciding how much personal information to disclose and with whom they want to share their information. Conversely, restrictive mediation results in teens making decisions about disclosing private information without taking their own risk assessments into account.

Video-sharing social media platforms like TikTok and Douyin have become a cultural trend among teen social media users. However, loss of privacy is a potentially serious downside of using such platforms. Despite the platforms' popularity among this age group, little is known about the ways teens manage their privacy on such social media platforms. By examining how teens' privacy risk perception and parental intervention shape three different aspects of privacy boundary management (i.e. privacy disclosure, privacy boundary linkage, and privacy boundary control), this study provides a comprehensive understanding of teen Douyin users' privacy management.

The purpose of this paper is to examine the complexities involved in the role of forensic practitioners working with people with learning disabilities and to put forward a preliminary model of forensic practitioner resilience.

This study uses a cross‐sectional qualitative design and samples ten professionals working within a forensic learning disabilities service.

Staff identified a number of complexities in their role which included the presentation of the client group, risk assessment and management, multi‐agency working, and the emotional complexity of the work. A preliminary model of resilience was developed which set out factors that would help staff manage these complexities and work towards meeting the needs of service users. This model includes individual, proximal and wider systemic factors. It is argued that building relationships and establishing trust with service users, staff, and wider agencies is the bedrock of forensic practitioner resilience. Moreover, it is argued that an integrative model of multi‐disciplinary team working helps facilitate trust between staff and is underpinned by trust in the first place.

This paper makes an original contribution because it qualitatively examines how staff within a forensic learning disabilities service interpret their role and details the complexities involved in their jobs. It also puts forward a preliminary model of forensic practitioner resilience.

The study describes the design, implementation and evaluation of an employer-sponsored health screening program – Employee Health and Wellness Program (EHWP) – in an academic healthcare system in Pakistan.

One year after implementation, RE-AIM (reach, effectiveness, adoption, implementation and maintenance) framework was used to evaluate and report participant- and organizational-level indicators of success.

Of the 5,286 invited employees, 4,523 (86%) completed blood work and 1809 (34%) completed health risk assessment (reach). Of the 915 (51%) who required referrals, 3% were referred for new diagnoses of diabetes, hepatitis C or severe anemia; 63% for elevated 10-year risk of cardiometabolic diseases (cardiovascular disease and diabetes); and 25% for counseling for depression, obesity or smoking cessation (effectiveness). Employees' barriers to enrollment were explored (adoption). While institutional costs were considered nominal (USD 20/employee), organizational barriers were identified (implementation). Finally, 97% of users reported interest in enrollment if EHWP was offered again (maintenance).

In a country with minimal focus on adult preventive care, the study reports the impact of an employer-offered wellness program that identified new risk factors and offered a referral for ongoing care. Employees reported a positive experience and were willing to re-enroll. Using the RE-AIM framework, the study has defined indicators in the real-world setting that can be used effectively by other institutions to start such a program.

The purpose of this paper is to describe an innovative information and decision support tool (ToolSHeD™) developed to help construction designers to integrate the management of OHS risk into the design process. The underlying structure of the prototype web‐based system and the process of knowledge acquisition and modelling are described.

The ToolSHeD™ research and development project involved the capture of expert reasoning regarding design impacts upon occupational health and safety (OHS) risk. This knowledge was structured using an innovative method well‐suited to modelling knowledge in the context of uncertainty and discretionary decision‐making. Example “argument trees” are presented, representing the reasoning used by a panel of experts to assess the risk of falling from height during roof maintenance work. The advantage of using this method for modelling OHS knowledge, compared to the use of simplistic rules, is discussed

The ToolSHeD™ prototype development and testing reveals that argument trees can represent design safety risk knowledge effectively.

The translation of argument trees into a web‐based decision support tool is described and the potential impact of this tool in providing construction designers (architects and engineers) with easy and inexpensive access to expert OHS knowledge is discussed.

The paper describes a new computer application, currently undergoing testing in the Australian building and construction industry. Its originality lies in the fact that ToolSHeD™ deploys argument trees to represent expert OHS reasoning, overcoming inherent limitations in rule‐based expert systems.

Mobile Applications (App) privacy has become a prominent social problem. Compared with privacy concerns, this study examines a relatively novel concept of privacy fatigue and explores its effect on the users’ intention to disclose their personal information via mobile Apps. In addition, the personality traits are proposed as antecedents that will induce the personal perception of privacy fatigue and privacy concerns differently.

Data were collected from 426 respondents. Structure equation modeling was used to test the hypotheses.

The findings describe that App users’ intention toward personal information disclosure is determined by privacy fatigue and privacy concerns, but the former has a greater impact. With minor exceptions, the two factors are also influenced by different personality traits. Specifically, neuroticism has positive effects on privacy fatigue, but agreeableness and extraversion have presented the opposite results on the two variables.

This research is very scarce to examine the joint effects of privacy fatigue, privacy concerns and personality traits on App users’ disclosing intention. In doing so, these results will be of benefit to App providers and platform managers and can be the basis for a variety of follow-up studies.

While previous research just focuses on privacy concerns, this study explores the critical roles of privacy fatigue and opens up a new avenue of emotion-attitude analysis that can further increase the specificity and richness of users’ privacy research. Additionally, implications for personality traits as antecedents in the impact of App users’ privacy emotions and attitudes are discussed.

The volatile scenario of technological innovation demonstrates the need for risk control processes, in order to ensure its viability. The purpose of this paper is to propose a conceptual framework for risk management in the introduction of new technologies by start-ups, aiming to provide the guidelines for the improvement of this process.

The study comes up with conceptual categories related to risk management in start-ups, mainly based on the NPVR approach. The methodology included two comparative case studies: MercadoPago and GuiaBolso, which had their data collected through interviews with key managers and documents provided by the organizations. Data analysis was based on the Miles et al. (2014) model, whereby data were condensed; data were visualized, and conclusions developed and checked.

Among the main results, there is the proposition of a deductive-inductive matrix for the management of uncertainties and risks in start-ups, which brings elements that provide the calculation of the NPV adjusted for the risk of developing a new product (NPVR), process or service, as well as the contribution of the level of risk management maturity of the companies, setting up the Risk Management Matrix (RMM).

The authors propose a matrix for the management of uncertainties and risks in start-ups.

The authors present comparative case studies of MercadoPago and GuiaBolso which help the entrepreneurs to develop their start-ups.

As the main contribution, this paper proposes the start-up RMM, a model for the management of uncertainties and risks in start-ups, which brings elements that provide the calculation of the NPV adjusted for the risk of developing a new product (NPVR), process or service, as well as the contribution of the level of risk management maturity of the companies.

The study aimed to evaluate the effectiveness of the Healthy e-Elderly People Intervention (HEPI) mobile application in reducing the physical health effects caused by smartphone usage.

This randomized controlled trial involved elderly volunteers residing in different regions of Thailand and using smartphones. The samples included 33 participants in each control and intervention group. The intervention group received the HEPI application with reminder messages, while the control group received the HEPI application without reminder messages. Assessments were conducted at baseline, follow-up 1 (four weeks after the last reminder messages) and follow-up 2 (12 weeks after the last reminder messages). Data analyses (i.e descriptive statistics, independent sample t-tests and repeated-measures analysis of variance) were used to obtain the overall mean change difference between the intervention and control groups at different time points (per-protocol analysis). The priorities of physical health risk were assessed using Health Risk Matrix.

The HEPI mobile application significantly improved knowledge, attitudes and practice scores in both the HEPI with and without reminder messages. The mean physical health risk score in both control and intervention groups was radically decreased from baseline to follow-up 1; lower physical health scores suggested lower health risk.

Increased duration of smartphone usage by elderly individuals in Thailand may result in a risk of developing several serious health conditions. The HEPI application with reminder messages could be used as a tool to benefit smartphone users and would further benefit from a booster after four weeks of intervention.

Media users daily exchange personal data for “free” personalised media. Is this a fair trade, or user “exploitation”? Do personalisation benefits outweigh privacy risks?

This study surveyed experts in three consecutive online rounds (e-Delphi). The authors explored personal data processing value for media, personalisation relevance, benefits and risks for users. The authors scrutinised the value-exchange between media and users and determined whether media communicate transparently, or use “dark patterns” to obtain more personal data.

Communication to users must be clear, correct and concise (prevent user deception). Experts disagree on “payment” with personal data for “free” personalised media. This study discerned obstacles and solutions to substantially balance the interests of media and users (fair value exchange). Personal data processing must be transparent, profitable to media and users. Media can agree “sector-wide” on personalisation transparency. Fair, secure and transparent information disclosure to media is possible through shared responsibility and effort.

This study’s innovative contribution is threefold: Firstly, focus on professional stakeholders’ opinion in the value network. Secondly, recommendations to clearly communicate personalised media value, benefits and risks to users. This allows media to create codes of conduct that increase user trust. Thirdly, expanding literature explaining how media realise personal data value, deal with stakeholder interests and position themselves in the data processing debate. This research improves understanding of personal data value, processing benefits and potential risks in a regional context and European regulatory framework.

This study aims to investigate the quality of disclosure of a cutting-edge reporting tool – integrated reporting (<IR>) – in terms of its effectiveness to report on COVID-19 pandemic information, its ability to provide forward-looking information and risk impact implications, and its quality determinants in challenging times.

Thanks to a content analysis of 247 <IR> for FY20, an integrated reporting disclosure score was developed to assess the disclosure quality provided by the sampled companies. Three research questions were tested through logistic regressions.

Non-financial disclosure activities struggle to provide adequate information in terms of potential future scenarios, risk assessment and forward-looking analyses. However, companies incorporated in “Anglo-Saxon” territories drafted integrated reports of higher quality. More recently, incorporated companies have made a greater effort to measure and report COVID-19 pandemic impacts on environmental, social and governance and business activities, also increasing their risk assessment and mitigation efforts. Concerning the determinants of disclosure quality, leverage, corporate governance structures, country of incorporation and belonging to “high impact” industries all lead to a higher quality of <IR> disclosure.

Examining in detail corporate social responsibility activities and corporate governance integrity is pivotal to orienting strategy towards sustainable trajectories: to do so, corporate reporting and disclosure practices are essential tools. In this context, corporate governance systems that emphasize board diversity are proven, even in disruptive circumstances, to play a crucial role in providing corporate reports of higher quality. High disclosure quality that goes beyond mere financial results is considered to be necessary to remain competitive strategically, socially and environmentally.