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Conflict between work and family is a significant issue for entrepreneurs. The purpose of this study is to explore the effect of entrepreneurial failure on both family–work conflict (FWC) and work–family conflict (WFC) and the moderating role of perceived control of time and organizational slack based on conservation of resources (COR) theory.

This study used a questionnaire to explore the relationship between entrepreneurial failure, FWC/WFC, perceived control of time and organizational slack. Data were collected from the Chinese context in 2018 and as a result received 318 valid questionnaires, obtaining a response rate of 63.6 per cent.

The study finds that entrepreneurial failure has a significant relationship with FWC but a nonsignificant relationship with WFC and that perceived control of time and organizational slack moderate the relationship between entrepreneurial failure and FWC/WFC.

This study aligns the field of family–work (work–family) conflict and entrepreneurial failure. It addresses a research gap in the conflict literature by introducing one form of resource loss: entrepreneurial failure as a source of conflict between work and family based on COR theory and the work–home resources model. The study also enriches the literature on the social cost of entrepreneurial failure by exploring the crossover effect of entrepreneurial failure on conflicts in the family domain. Furthermore, the study advances the understanding of managing conflict between work and family after entrepreneurial failure.

Context‐aware mobile computing extends the horizons of the conventional computing model to a ubiquitous computing environment that serves users at anytime, anywhere. To achieve this, mobile applications need to adapt their behaviors to the changing context. The purpose of this paper is to present a generalized adaptive middleware infrastructure for context‐aware computing.

Owing to the vague nature of context and uncertainty in context aggregation for making adaptation decisions, the paper proposes a fuzzy‐based service adaptation model (FSAM) to improve the generality and effectiveness of service adaptation using fuzzy theory.

By the means of fuzzification of the context and measuring the fitness degree between the current context and the predefined optimal context, FSAM selects the most suitable policy to adopt for the most appropriate service. The paper evaluates the middleware together with the FSAM inference engine by using a Campus Assistant application.

The paper is of value in presenting a generalized adaptive middleware infrastructure for context‐aware computing and also comparing the performance of the fuzzy‐based solution with a conventional threshold‐based approach for context‐aware adaptation.

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.

The determinants of the fear of crime have been extensively investigated over the past three decades, yet few studies are comparative, include data from developing countries or use attitudes toward the police as explanatory variables. Understanding how perceptions of police performance influence fear of crime is essential to developing strategies which will reduce citizens’ isolation and reluctance to exert informal social control in their communities. Such lack of engagement creates opportunities for increased crime and disorder and heightens fear of crime. The paper aims to discuss these issues.

This study examines the mediating effect of perceived confidence in the police on citizens’ fear of crime in seven developing Caribbean region countries using structural equation modeling. The data were collected in a 2011 United Nations survey from representative samples in each nation.

The results indicate that confidence in the police plays a significant and partial mediating role in explaining fear of crime and that community- and individual-level characteristics influence the level of confidence and independently affect fear of crime as well.

This is one of the few studies that employs comparative victimization data in the Caribbean to examine the role that confidence in the police has on fear of crime. The findings of this study will contribute to fill the gap in the understanding of the drivers of fear of crime in developing countries.

The purpose of this paper is to propose a distributed protocol to build a logical coordinate system based on the hop counts of each node to four selected landmarks, and the real location information is not needed.

The designed protocol uses the sink node as one of the landmarks and then selects three other sensor nodes near the corners of the sensor network as landmarks.

The simulation results show that the proposed protocol has the superior performance in packet delivery ratio, average hop counts among nodes, and communication overhead to previous works.

This paper presents a distributed protocol to build a logical coordinate system based on hop counts to landmarks.

The purpose of this research is to identify the effective criteria and determine the required infrastructure for the repair of drilling rigs.

The research was carried out through questionnaires and interviews with experts, including consultants, contractors and operators. A long list of the required infrastructure, dividing into three groups of vital, necessary and support, was prepared and compared with the productivity criteria.

The results show that it is better to prepare and upgrade the vital, necessary and supportive equipment in the shipyards, including refrigeration workshop, cofferdam for repairing spudcans and residential and educational places.

These results are helpful for the industries working on jack-ups and the countries having similar conditions to enable them to use their assets in an optimum way.

Oil drilling rigs' repair and maintenance (R&M) services are essential because of affecting the economy. Furthermore, about 25% of Iran’s oil drilling rigs are jack-up, needing overhauls every five years. Other research has investigated how to repair jack-ups, their incidents, their R&M industry market and, only in some cases mentioned, cost and time criteria. Therefore, it is necessary to identify the criteria and study the infrastructures in the shipyards.

This study attempts to determine how political legitimacy and regime change affect the level of public confidence in the Mexican police. The current study also aims to examine to what extent socioeconomic and attitudinal factors are associated with levels of police confidence among Mexican citizens.

The data used in this study were obtained from two Mexican surveys conducted as part of the World Value Surveys (WVS) in 1996 and 2005. Owing to the nature of the dependent variable, a series of ordinal logistic regression analyses was employed to examine the effects of political legitimacy, regime change, attitudinal, and socioeconomic factors on public confidence in the Mexican police while controlling other relevant factors.

Consistent with prior research, results confirmed that public confidence in the police was positively associated with political legitimacy (i.e. support for regime institutions and system support), happiness, life satisfaction, marital status, and religious activity. Yet, age, education, and size of the town were negatively related to public confidence.

Since the current study used secondary data, the availability of information was limited. Only one nation was studied which limits the generalizability of the findings. Future research may attempt to study other Latin‐American nations, including Mexico, in order to address the issue of public confidence in policing on a greater scale. Further, as the police alone cannot take full credit in the public's perception of law enforcement, it is imperative that future studies also examine other government agencies (i.e. courts, prosecutors) that may lend more information on this subject.

While the police and some governing agencies may not be able to change most of the factors studied in this research, they can strive to cultivate better trust among the citizenry and seek to improve quality of life in neighborhoods which may lead to greater happiness and life satisfaction factors that may then increase the level of confidence in the police.

The political influence on the determinants of capital structure has been under-researched for a long time. Taking the turnover of secretary of municipal committee as a political factor in China, this paper studies the effect of local government officials' turnover on firm's capital structure.

Starting with all A-shares listed firms in the Shanghai and Shenzhen Stock Exchanges from 2001 to 2018, this paper implements the OLS estimation, staggered difference-in-difference approach to investigate the effects of political turnover on the choice of capital structure.

The results show that, driven by government officials' turnover, firms will significantly reduce their leverage. When comparing between formal finance (bank loans) and informal finance (payables), the reduction of capital structure is mainly driven by banks, not by suppliers. Furthermore, two possible channels have been investigated. First, the reduction effects are mainly driven by the SOEs when classifying the types of corporate ownership into SOEs and non-SOEs. Second, the reduction effects exist in areas with the more intense government intervention when considering the heterogeneity of the development of institutional environment in provinces.

This paper first contributes to the literature on the determinants of corporate choice on capital structure. Second, this paper enriches the studies on the economic consequences of local government officials' turnover.