Safety concerns related to modular/prefabricated building construction

The US construction industry annually experiences a relatively high rate of fatalities and injuries; therefore, improving safety practices should be considered a top priority for this industry. Modular/prefabricated building construction is a construction strategy that involves manufacturing of the whole building or some of its components off-site. This research focuses on the safety performance of the modular/prefabricated building construction sector during both manufacturing and on-site processes. This safety evaluation can serve as the starting point for improving the safety performance of this sector. Research was conducted based on Occupational Safety and Health Administration investigated accidents. The study found 125 accidents related to modular/prefabricated building construction. The details of each accident were closely examined to identify the types of injury and underlying causes. Out of 125 accidents, there were 48 fatalities (38.4%), 63 hospitalized injuries (50.4%), and 14 non-hospitalized injuries (11.2%). It was found that, the most common type of injury in modular/prefabricated construction was ‘fracture’, and the most common cause of accidents was ‘fall’. The most frequent cause of cause (underlying and root cause) was ‘unstable structure’. In this research, the accidents were also examined in terms of corresponding location, occupation, equipment as well as activities during which the accidents occurred. For improving safety records of the modular/prefabricated construction sector, this study recommends that future research be conducted on stabilizing structures during their lifting, storing, and permanent installation, securing fall protection systems during on-site assembly of components while working from heights, and developing training programmes and standards focused on modular/prefabricated construction.     

Planning for ecotourism in the protected area of Manesht and Ghelarang,Ilam Province,Iran

ABSTRACT

This paper reports a study of the Manesht- and Ghelarang-protected area in Iran. The study sought to identify ways in which sustainable tourism policies could be generated that aid the natural and human environments. From surveys and questionnaires completed by tourists, residents, and officials, an initial set of 10 areas of weakness, 9 strengths, and 6 opportunities were identified. Using these classifications combined with mapping techniques that included maps of topography and flora, a subsequent Technique for Order of Preference by Similarity to Ideal Solution analysis identified potential future policies that require infrastructure development and reinforced pro-environmental policies to address the problems currently being experienced.     

Cost-effectiveness of beef slaughterhouse decontamination measures in the Netherlands

The cost-effectiveness of seven decontamination measures to reduce Escherichia coli O157:H7 (VTEC)-contaminated carcass quarters in a typical Dutch dairy-beef industrial slaughterhouse were explored. To estimate the effectiveness a stochastic epidemiological-simulation model was used and to estimate the net cost a deterministic-economic model. The estimated baseline prevalence of daily-contaminated quarters was 9.16% (with a 90% confidence interval 4.40-13.10%). A reduction in the prevalence of VTEC-contaminated quarters to 2% using decontamination measures is achieved at costs of €0.20 to €0.50 per quarter, which is 16-40% of the net profit per carcass. A reduction to a prevalence of 1% will cost €0.50-€1.00 per quarter. Additional carcass trim and carcass steam-pasteurization are considered as the most cost-effective decontamination measures with costs of €16,340 and €20,243 per year to achieve a 1% prevalence reduction. Nevertheless, the lowest level of VTEC prevalence, less than 1%, is achieved using a set of measures that costs between €1.00 and €2.00 per quarter or, by implementing irradiation, which costs €4.65 per quarter.     

Estimation of trade elasticities in the presence of trade barriers, multinationals and imperfect competition

Recent research highlights the role that multinational trading companies may play in impeding price transmission. In markets characterised by imperfect competition, an estimate of the partial elasticity of demand may be of limited practical value if no account is taken of the reaction of competitors. In this paper, we demonstrate the potential for market structure to affect price transmission and trade elasticities, and challenge the presumption that only government intervention can impact upon price transmission, with examples supporting why theory would suggest otherwise.     

Product resource–capability complementarity,integration mechanisms,and first product advantage

The current study extends work on resource-based theory (RBT) by exploring resource—capability complementarity in a new context—that of new technology ventures' (NTVs) first product (FP) commercialization in India. This study examines the influence of marketing and technology resource–capability complementarity on FP positional advantages (differentiation and cost-efficiency) and their influence on first product performance (FPP). Furthermore, this study incorporates the influence of supplier integration (SI) mechanisms (in terms of knowledge sharing and co-commercialization) in the process of FP commercialization. The findings suggest that asset complementarities have a positive relation with FP positional advantages, in that both differentiation and cost-efficiency enhance an NTV's FPP, and that SI moderates the relationships between both marketing and technology R–C complementarity and FP positional advantages.     

Demand under product differentiation: an empirical analysis of the US wine market*

Oversupply has led to a number of perplexities for the Australian wine industry in recent times. When disaggregated from the industry level, however, the problem can be better described as a range of attribute‐specific disequilibria. To date, the solutions to this problem have predominantly revolved around supply‐side policies of reducing output through crop thinning or vine pulling. By contrast, this paper focuses on the demand side and argues that the disequilibria may be reduced by gaining a better understanding of the demand for Australian wine. A discrete choice model of product differentiation is used to estimate the demand for wine in Australia's second largest export market, the United States. Implications of the analysis are explored.     

Online Repurchasing: The Role of Information Disclosure,Hope, and Goal Attainment

The emergence of online purchasing has changed the relationship between consumers and brands. Our research focuses on online information disclosure and consumer hope in an online shopping environment. Two studies are undertaken to test the theoretically derived hypotheses. Study 1 evaluates the causal relationship between information disclosure and hope via an experiment in an online shopping context. Study 2 involves an online survey to test the nomological network presented in this research. The models identify the moderating effect of consumer product knowledge on online information disclosure and consumer hope. For academics, this research advances knowledge of how consumers' confidence in sharing personal information develops hope, consequently enabling them to attain their goals and repeat their purchases. For practitioners, it offers a better understanding of how investments are successful in aiding consumers to attain their goals and generate repeat purchase intentions in an online shopping environment.     

Are firms ready to use big data analytics to create value? The role of structural and psychological readiness

In this study, we leverage Information Technology (IT) readiness literature and resource-based view (RBV) to investigate the impact of firm structural and psychological readiness on firm value creation, as mediated by big data analytics usage. The proposed research model is empirically validated using survey data from 179 senior IT managers. The findings demonstrate the importance of both structural (i.e. IT infrastructure capability, tools functionality, employee analytical capability, and bigness of data) and psychological readiness (i.e. IT proactive climate) in enhancing firm value creation through big data analytics usage. These results provide interesting theoretical and practical insights.     

Occupational Segregation and Gender Wage Differentials: Evidence from Malaysia

In Malaysia, the participation of women in the labor market has increased over time. However, occupational segregation and wage differentials continue to be prevalent between men and women in the labor market. The present paper investigates gender‐related occupational segregation and wage differentials based on data collected from 7135 working households in Peninsular Malaysia in 2011. The wage decomposition model introduced by Brown et al. (1980) is used to examine the determinants of gender‐related wage differentials. The results suggest that differences within occupations account for the largest portion of the wage gap between men and women. The results also indicate that wage discrimination within occupations plays an important role in the gender wage gap, while sample selection bias plays an important role in the examination of gender wage gaps.