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This study aims to develop a database of existing academic information in house purchase decision (HPD) using systematic literature review (SLR), to facilitate worldwide advancement of research under HPD domain.

This research examined papers from two reputable databases – Scopus and Google Scholar – from 1992 to 2022 using a scoping review technique (Arksey and O’Malley, 2005) and a theme analysis method. Out of 374, 181 articles fit the inclusion parameters and were evaluated using the theme analysis approach.

Data from 181 articles was evaluated thematically to create a thematic map of HPD research. Five main themes and their sub-themes were identified: consumer behaviour, housing attributes, factors influencing purchasing decisions, investment analysis and demographics, which proved essential in understanding HPD and customer preferences for house purchase.

Data from 181 articles were evaluated thematically to create a thematic map of HPD research. This SLR intends to provide useful new insights on consumer concerns about home purchases in the rapidly developing residential real estate market and the issues that marketers, housing sector stakeholders, real estate industry and existing and future researchers should prioritize.

This research is unique such that it is the only 30-year-long SLR on the subject matter of HPD. This paper makes a significant contribution to residential real estate domain signifying the present state of research in HPD.

Since its inception, the term ‘corporate governance’ (CG) has attracted mainstream attention, continuing to generate discussion among academics, practitioners and policy-makers. This heightened interest generally revolves around clarifying the principles of CG, both in theory and practice. This is particularly important in the context of emerging economies, where the sociocultural ethos and values often differ from those of most developed economies, where the CG concept was conceived and developed. In this vein, this chapter draws on empirical data to explore practical CG challenges faced by corporations in the Nigerian manufacturing and banking sectors. Nigeria is a country whose dominant national culture is one of high-power distance (HPD), which endorses servant-master relationships and encourages deference to authority. In this study, we found that HPD culture can undermine stakeholders’ ability to hold corporate executives to account on practices and behaviours that are antithetical to principles of corporate integrity and ethics, accountability, transparency, autonomy and stakeholder engagement, which in turn, leads to (and exacerbates) corporate misgovernance among businesses in the sectors. The theoretical and practical implications of the study are expatiated in the discussion section.

The purpose of this paper is to examine the Houston Police Department (HPD)’s public engagement efforts using Twitter during Hurricane Harvey, which was a large-scale urban crisis event.

This study harvested a corpus of over 13,000 tweets using Twitter’s streaming API, across three phases of the Hurricane Harvey event: preparedness, response and recovery. Both text and social network analysis (SNA) techniques were employed including word clouds, n-gram analysis and eigenvector centrality to analyze data.

Findings indicate that departmental tweets coalesced around topics of protocol, reassurance and community resilience. Twitter accounts of governmental agencies, such as regional police departments, local fire departments, municipal offices, and the personal accounts of city’s police and fire chiefs were the most influential actors during the period under review, and Twitter was leveraged as de facto a 9-1-1 dispatch.

Emergency management agencies should consider adopting a three-phase strategy to improve communication and narrowcast specific types of information corresponding to relevant periods of a crisis episode.

Previous studies on police agencies and social media have largely overlooked discrete periods, or phases, in crisis events. To address this gap, the current study leveraged text and SNA to investigate Twitter communications between HPD and the public. This analysis advances understanding of information flows on law enforcement social media networks during crisis and emergency events.

This paper explores the link between employee stress and the high-power distance (HPD) culture in Nigeria. The study context is the banking and manufacturing sectors in Nigeria, which have a history of exploitation, unconducive work environments to productivity, work-life imbalance, work overload, burnout and employee stress.

Using a qualitative, interpretive methodology, this article adopts a thematic analysis of data drawn from semi-structured interviews with 24 managerial and non-managerial workers to explore the process by which Nigerian manufacturing and banking sectors' work (mal)practices go unchallenged, thereby triggering and exacerbating employees' stress levels.

The study found that the high power distance culture promotes a servant-master relationship type, making it impossible for employees to challenge employers on issues relating to stressors such as work overload, unconducive work environments, work-life imbalance and burnout, thereby exacerbating their stress levels in a country in which stress has become a way of life.

Research on the relationship between employee stress and HPD culture is relatively underdeveloped. This article sheds light on issues associated with stressors in Nigeria's human resource management (HRM) and employment relations practices. The link between the inability of employees to challenge these stressors (which are consequences of an HPD culture) and increased employee stress has substantial implications for employment and work-related policies and practices in general. The study is constrained by the limited sample size, which inhibits the generalisation of its findings.

The article adds to the scarcity of studies underscoring the relationship between high-power distance and the inability of employees to challenge work-related stressors as a predictor of employee stress and a mediator between workplace practices and employee stress, particularly in the emerging economies.

The purpose of this paper is to examine whether the distribution of police response time to in-progress burglaries differ according to the level of social disorganization across different neighborhoods.

Using 2006 calls for service data collected from the Dallas and Houston Police Departments and from the 2000 US Bureau of Census statistics, the effects of social disorganization on police performance were examined through multilevel analysis of the distribution of police response time patterns across different neighborhoods in Dallas and Houston.

The analysis of the DPD and HPD in-progress calls produced somewhat consistent findings on the relationship between the level of social disorganization and police response time. Concentrated disadvantage, immigrant concentration, and residential stability are important predictors of the distribution of police response time patterns in Dallas and Houston.

Neighborhood social disorganization is related to the distribution of agency response time patterns. Detailed response time analysis is crucial for agencies to improve police performance and the community-police relationship.

In the policing literature, researchers have tended to neglect rapid response when examining many aspects of policing. The present study expands on existing research by examining the theoretical link between the level of neighborhood social disorganization with the distribution of rapid police response to in-progress burglary in two cities.

Three broad behavioral categories have been related to organizational goals: task (in‐role), citizenship (extra‐role), and counterproductive behaviors. Because most studies modeling these behaviors have been conducted in culturally similar contexts (individualistic and relatively low power distance settings), the purpose of this paper is to test the invariance of such a triad categorization of performance in collectivistic and high power distance contexts.

Data of employees' proficiencies (n = 1,022) in 34 work activities representing the three behavioral performance categories were factor analyzed. Data were collected by adapting existing behavioral‐based instruments exhibiting strong psychometric properties.

Although results corroborate the existence of a triad categorization of employee behaviors, culture‐specific variations attesting to the partitioning of in‐role behaviors according to the distribution of power in organizations were found. Results also suggest that collectivistic individuals narrowly conceptualize extra‐role behaviors by excluding discretionary interpersonal actions.

The paper's findings contribute to our understanding of how job performance varies in a global economy. These variations must be considered in appraisal instruments, especially in organizations operating across cultural contexts.

This paper is believed to be the first to test the cultural invariance of a triad categorization of relevant employee behaviors.

The purpose of this article is to assess consumer evaluations of bonus packs offered with price discounts.

Four laboratory experiments and a content analysis were conducted.

The opportunity to obtain a price discount was available for approximately 25 per cent of the bonus packs found in a content analysis. Consumers evaluated an offer containing a low bonus amount and a high price discount more positively than an offer containing a high bonus amount and a low price discount, despite both offers providing a similar underlying price per unit. Moreover, consumer evaluations of a bonus pack can be enhanced by providing a price discount rather than offering it at the regular price.

Future research could examine consumer reactions to bonus packs offered with discounts contingent on obtaining multiple quantities (e.g. BOGO; a multiple-unit price providing a lower price per unit than the single unit’s price) to determine whether the results of the present research extend to these situations.

Manufacturers and retailers can evoke more positive consumer reactions to a bonus pack offered with a price discount if specifying a high amount for the latter rather than the former (if high amounts cannot be specified for both). It is possible for retailers to enhance consumer evaluations of a bonus pack by providing a price discount.

This research is the first to examine consumer evaluations of promotional offers containing both a bonus pack and a price discount.

The purpose of this paper is to estimate the multicomponent reliability by assuming the unit-Gompertz (UG) distribution. Both stress and strength are assumed to have an UG distribution with common scale parameter.

The reliability of a multicomponent stress–strength system is obtained by the maximum likelihood (MLE) and Bayesian method of estimation. Bayes estimates of system reliability are obtained by using Lindley’s approximation and Metropolis–Hastings (M–H) algorithm methods when all the parameters are unknown. The highest posterior density credible interval is obtained by using M–H algorithm method. Besides, uniformly minimum variance unbiased estimator and exact Bayes estimates of system reliability have been obtained when the common scale parameter is known and the results are compared for both small and large samples.

Based on the simulation results, the authors observe that Bayes method provides better estimation results as compared to MLE. Proposed asymptotic and HPD intervals show satisfactory coverage probabilities. However, average length of HPD intervals tends to remain shorter than the corresponding asymptotic interval. Overall the authors have observed that better estimates of the reliability may be achieved when the common scale parameter is known.

Most of the lifetime distributions used in reliability analysis, such as exponential, Lindley, gamma, lognormal, Weibull and Chen, only exhibit constant, monotonically increasing, decreasing and bathtub-shaped hazard rates. However, in many applications in reliability and survival analysis, the most realistic hazard rates are upside-down bathtub and bathtub-shaped, which are found in the unit-Gompertz distribution. Furthermore, when reliability is measured as percentage or ratio, it is important to have models defined on the unit interval in order to have plausible results. Therefore, the authors have studied the multicomponent stress–strength reliability under the unit-Gompertz distribution by comparing the MLEs, Bayes estimators and UMVUEs.

The study based on the estimation of the stress–strength reliability parameter plays a vital role in showing system efficiency. In this paper, considering independent strength and stress random variables distributed as inverted exponentiated Rayleigh model, the author have developed estimation procedures for the stress–strength reliability parameter R = P(X>Y) under Type II hybrid censored samples.

The maximum likelihood and Bayesian estimates of R based on Type II hybrid censored samples are evaluated. Because there is no closed form for the Bayes estimate, the author use the Metropolis–Hastings algorithm to obtain approximate Bayes estimate of the reliability parameter. Furthermore, the author construct the asymptotic confidence interval, bootstrap confidence interval and highest posterior density (HPD) credible interval for R. The Monte Carlo simulation study has been conducted to compare the performance of various proposed point and interval estimators. Finally, the validity of the stress–strength reliability model is demonstrated via a practical case.

The performance of various point and interval estimators is compared via the simulation study. Among all proposed estimators, Bayes estimators using MHG algorithm show minimum MSE for all considered censoring schemes. Furthermore, the real data analysis indicates that the splashing diameter decreases with the increase of MPa under different hybrid censored samples.

The frequentist and Bayesian methods are developed to estimate the associated parameters of the reliability model under the hybrid censored inverted exponentiated Rayleigh distribution. The application of the proposed stress–strength reliability model will help the reliability engineers and also other scientists to estimate the system reliability.

This paper aims to estimate the effects of gun possession arrests made by a specialized, proactive police patrol unit in the Houston Police Department (HPD).

Time series analyses are used to estimate the effects of weekly gun possession arrests on weekly counts of gun crimes in Houston, TX. Models isolate the effects of arrests made by the proactive patrol unit from gun possession arrests made by other HPD officers.

Citywide and beat‐level analyses show that the proactive unit made meaningful contributions to existing levels of illegal possession arrests. Time series analyses using weekly data show that these additional arrests are associated with significant declines in offences committed with guns. Findings support existing evidence that shows police can affect serious crimes by targeting firearms that are illegally possessed and carried.

The analysis can not precisely determine whether additional patrol presence or arrests are the precise mechanisms that might be influencing gun crimes.

The findings are consistent with existing evidence and suggest that focused police work to seize illegally possessed firearms from the streets and arrest those in illegal possession of firearms will impact offences committed with firearms.

The analysis extends existing work that tests the effects of proactive patrol activities on offences committed with firearms. The analysis is distinct from existing research on this topic because it estimates the effects of gun possession arrests rather than the effects of gun seizures.