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High rate of accidents continue to plague the construction industry. The advancements in safety technologies can ameliorate construction health and safety (H&S). This paper aims to explore the use of emerging technologies as an effective solution for improving safety in construction projects.

Following a detailed literature review, a questionnaire survey was developed encompassing ten technologies for safety management and ten safety enablers using technologies in construction. A total of 133 responses were gathered from Malaysian construction practitioners. The collected quantitative data were subjected to descriptive and inferential statistical analyses to determine the meaningful relationships between the variables.

Findings revealed that the most effective emerging technologies for safety management are: building information modelling (BIM), wearable safety technologies and robotics and automation (R&A). The leading safety enablers are related to improve hazard identification, reinforce safety planning, enhance safety inspection, enhance safety monitoring and supervision and raise safety awareness.

Safety is immensely essential in transforming the construction industry into a robustly developed industry with high safety and quality standards. The adoption of safety technologies in construction projects can drive the industry towards the path of Construction 4.0.

The construction industry has historically been slow to adopt new technology. This study contributes to advancing the body of knowledge in the area of incorporating emerging technologies to further construction safety science and management in the context of the developing world. By taking cognisance of the pertinent emerging technologies for safety management and the safety enablers involved, construction safety can be enhanced using integrated technological solutions.

This paper aims to investigate the influence of “BroncoCut-X” (copper core-ZnCu50 coating) electrode on the machining of Ti-3Al-2.5V in view of its extensive use in aerospace and medical applications. The machining parameters are selected as Spark-off Time (ST_off), Spark-on Time (ST_on), Wire-speed (S_w), Wire-Tension (WT) and Servo-Voltage (S_v) to explore the machining outcomes. The response characteristics are measured in terms of material removal rate (MRR), average kerf width (KW) and average-surface roughness (SA).

Taguchi’s approach is used to design the experiment. The “AC Progress V2 high precision CNC-WEDM” is used to conduct the experiments with ϕ 0.25 mm diameter wire electrode. The machining performance characteristics are examined using main effect plots and analysis of variance. The grey-relation analysis and fuzzy interference system techniques have been developed to combine (called grey-fuzzy reasoning grade) the experimental response while Rao-Algorithm is used to calculate the optimal performance.

The hybrid optimization result is obtained as ST_off = 50µs, ST_on = 105µs, S_w = 7 m/min, WT = 12N and S_v=20V. Additionally, the result is compared with the firefly algorithm and improved gray-wolf optimizer to check the efficacy of the intended approach. The confirmatory test has been further conducted to verify optimization results and recorded 8.14% overall machinability enhancement. Moreover, the scanning electron microscopy analysis further demonstrated effectiveness in the WEDMed surface with a maximum 4.32 µm recast layer.

The adopted methodology helped to attain the highest machinability level. To the best of the authors’ knowledge, this work is the first investigation within the considered parametric range and adopted optimization technique for Ti-3Al-2.5V using the wire-electro discharge machining.

The paper aims to reveal the attitude of the Russian competition authorities towards cross-border mergers involving foreign buyers. The study addresses the following question: Is the probability of Russian competition authorities' intervention significantly different when a foreign buyer takes part in the merger? This is the key test to reveal whether competition authorities gravitate towards “economic nationalism” or “promotion of foreign investments”.

The discrete choice model is applied to the dataset of 7,607 merger cases investigated by the Russian competition authorities between 2012 and 2017. The probability of competition authorities' intervention, such as merger correction by using remedies or deal rejection, is used as a measure of special attention.

The study finds out favoritism patterns of the regulator with regard to foreign companies. In particular, the deals involving a foreign buyer had less chance of intervention, i.e. imposition of remedies, from national competition authorities. The sanctions period does not moderate the probability of approval of a cross-border merger with foreign buyers by the Russian competition authorities.

The paper contributes to merger control literature by addressing the political economy issues. It discovers that, besides regulation by the law, there are hidden motives, such as protectionism or favoritism of foreign companies, which could drive the regulator's decision. Therefore, the studies of cross-border mergers provide an opportunity to investigate the political issues of merger control through the identification of a special attitude to foreign companies and analysis of regularities that might explain such a policy.

This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise.

In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals (n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis.

Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise.

The volunteer basis of this study meant that the sample was not representative or generalisable.

Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.

This study aims to examine the relationship between the personality dimensions of consumers and celebrities; the effect of celebrity personality on attitude towards the celebrity; and the effect of attitude towards the celebrity on purchase intention.

Data were gathered from 400 respondents in the North of England to explore the connections between five consumer personality dimensions (agreeableness, extroversion, openness, conscientiousness and neuroticism) and nine celebrity personality dimensions (neuroticism, extroversion, openness, agreeableness, conscientiousness, sincerity, excitement, stylishness and positivity) and were analysed using structural equation modelling.

The findings suggested that some dimensions of consumer personality, i.e. conscientiousness, extroversion and openness, were significantly related to all the celebrity personality dimensions. Moreover, all the celebrity personality dimensions had a significant effect on consumers’ attitude towards the celebrity; however, only neuroticism, extroversion, openness, sincerity and positivity significantly affected purchase intention. Finally, attitude towards the celebrity had a significant effect on purchase intention.

The study introduces a celebrity personality scale and explores a topic that has not previously been researched.

In the purchase intention of green products context, researchers have mainly investigated the role of symbolism but have mostly discussed symbolic attributes/meanings in terms of social status only. This research aims to investigate the impact of four perceived symbolic meanings of green clothing (status, environmentalism, innovation and fashion symbols) on consumers' purchase intention of green clothing through their attitude toward it. Besides, the moderating role of a consumer mindset in the indirect relationship between symbolic attributes and the purchase intention of green products through consumer attitude is examined.

The data were collected through a survey from a sample of 325 respondents in Turkey, especially younger ones. The data were analyzed via confirmatory factor analysis and hypothesized relationships were tested with multiple and simple regression analyses and PROCESS macros in SPSS.

All symbolic meanings of green clothing impact purchase intention positively and indirectly through consumers' attitudes toward it. The results of moderated mediation analyses showed that the impact of symbolic meanings, except for environmentalism symbol, on purchase intention through consumer attitude was significantly moderated by the consumer mindset.

This research contributes to the under-researched areas of the impact of various symbolic attributes/meanings of green clothing on consumers' purchase intention. Besides, this study advances the role of consumer mindset in consumer behavior research in such a way that it connects mindsets of personality, consumers' attitudes toward green products and their green purchase intention. Furthermore, this study addresses the gap in regard to the role of mindsets of personality on sustainable/environmental behaviors. It will provide implications for fashion marketing managers to develop appropriate targeting, positioning and communication strategies for consumers' mindsets.

Despite service downgrades' undisputed practical relevance, service downgrades (e.g. customers shifting the price tier downward) have received surprisingly little attention from scholars. Previous studies have focussed on either the public policy issue of tiered pricing or optimal pricing by the service provider. Only a few studies have examined why customers shift across different price tiers and how such activities indicate their future behaviour.

Based on customer data collected from a major telecommunications company, the authors use a logistic regression model to investigate how two service modification levers (i.e. transaction- and relationship-level factors) influence the likelihood of service downgrade. The authors apply a survival model to study how service downgrades affect customer churn.

Transaction-level factors such as service usage (e.g. the frequency and recency of underuse experiences) are positively associated with the likelihood of a downgrade. However, relationship-level factors (e.g. relationship duration and customer status) are negatively associated with the likelihood of downgrades. Customers engaging in downgrades are more likely to churn in the future.

The authors focus on downgrade behaviour, which can be perceived as customers' choice to move down the price tier, which likely ruins the service provider's performance. The authors conceptualise two fundamental driving forces behind a service downgrade: the misfits between the actual usage and the service plan chosen and the deteriorating relationships. The authors' empirical findings on the factors influencing downgrades provide insights for service providers seeking to prevent such behaviour.

This research investigates the effect of imposing a tax on sugar-sweetened beverages (SSBs) on the likelihood of purchasing SSBs. We design and test an experimental framework that examines this and the effects of providing an explanation about the presence of an SSB tax and information about the negative health effects of consuming SSBs. Consistent with Elbel, Taksler, Mijanovich, Abrams, and Dixon (2013) and Taylor, Kaplan, Villas-Boas, and Jung (2019), we find that imposing a tax, in addition to increasing the conspicuousness of the tax by explaining the presence of a tax (and in some cases, the negative health effects) reduces the likelihood of purchasing an SSB anywhere from 8.39% to 18.15%. We contribute to the public health and tax policy literature by testing consumer choice in a controlled experimental setting and considering the effect of individual differences on the choice to purchase SSBs. Imposing a tax on SSBs may be an effective tool for decreasing SSB consumption that is made more effective when the tax is conspicuous.

This study investigates the relationship between companies with military directors and audit fees in Indonesia.

Using upper echelon and audit pricing theories, the authors examine military directors' roles in the demand for and supply of auditing services. The authors use Indonesia as their research setting as their military forces have a long history of involvement in business. The study sample includes 898 firm-year observations on the Indonesia Stock Exchange during 2014–2018.

The authors find a negative relationship between military connections and audit fees. This is consistent with auditors assessing lower audit risk and charging lower audit fees to companies that have leaders with military experience. The study findings are strongest where there is military experience on the board of directors and where the military experience is from the Army.

This study extends the literature on the benefits of military experience in company leadership, especially in the context of auditing research. The study findings also have implications for the selection of board candidates and auditor risk assessments.