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The purpose of this study is to understand the factors influencing Iranian tourists’ behavioural intention to use consumer-generated contents (CGC) websites whilst browsing the web when it comes to travel planning, based upon the Technology Acceptance Model (TAM) extension.

The total of 211 valid responses were collected through an online questionnaire survey. Data collected from Iranian online tourists were used to test the proposed research model by using the partial least squares structural equation modeling method of analysis.

The results of the study indicate that perceived source credibility is the strongest predictor for behavioural intention. Furthermore, in this study, the most significant relationship is between perceived enjoyment and perceived ease of use. However, the findings of this study show that perceived ease of use is unable to predict behavioural intention of Iranian tourists while using CGC websites.

This study provides clear evidence for the importance of additional key variables in improving the authors’ understanding of the Iranian adoption behaviour concerning CGC websites for travel planning purposes. Implications of this research can aid both academicians and practitioners towards a better understanding of tourists’ adoption behaviour when associated with the social media.

This paper adopts TAM and extends it with other variables, namely, perceived enjoyment, perceived source credibility and perceived risk. It examines their influence in the behavioural intention of using CGC for travel planning in the context of Iran for the first time.

Offshore structures are among the structures exposed to fire more often. Most of these structures are likely to be associated with flammable materials. In this research, some of the structures constructed on top of marine decks have been studied.

For this purpose, the upper-bound theory of plastic analysis has been used to investigate its collapse behavior. In this way, genetic algorithm has been used for application of the combination of elementary mechanisms in the classic plastic analysis problem.

The studied structures are optimized by plastic analysis theory before and after the fire and their failure modes are compared with each other. The comparison of the results indicates significant changes in the load factor value, as well as the critical collapse mode of the structure before and after the fire.

Results indicate that the combination of plastic analysis and a genetic algorithm can predict the collapse mode of the structure before and after the fire accurately.

The purpose of this paper is to investigate the relationship between customer relationship management (CRM) dimensions (i.e. top management support, customer orientation, training orientation, customer data, customer information-processing and integration) and organizational performance in telecommunication companies in Kuwait.

This is a quantitative study, and the response came from 167 employees of three telecommunication companies. Data collected were subjected to correlation and regression analyses in pursuance of the study’s stated objective.

The results of this study found that top management support, customer data and customer information processing are positively related to organizational performance, while other variables of customer orientation, training orientation and integration of CRM have no significant influence on organizational performance.

The paper addresses CRM dimensions issues specifically for telecommunication companies in Kuwait.

The purpose of this paper is to analyze the effect of management accounting and control systems (MACS) on environmental innovation practices and operational performance. Specifically, this study relies on Simons’ levers of control (LOC) framework to investigate how managers implement environmental innovation practices. This paper hypothesizes that a forward-looking use of MACS (i.e. interactive use) triggers the implementation of environmental innovation practices, resulting in higher operational performance. Furthermore, the authors argue that the monitoring role of MACS (i.e. diagnostic use) combined with environmental training improves the effect of environmental innovation practices on operational performance.

Hypotheses are examined through a questionnaire survey. The analyses are based on responses in an empirical study from 89 Brazilian hotels.

Empirical findings from a hierarchical moderated regression analysis support the hypothesized links.

This study contributes to the environmental management and management control literature by providing novel evidence on the roles MACS play in the field of sustainable development. Based on the LOC framework, the authors shed light on the understanding of how managers introduce and monitor environmental innovation practices, as well as also outlining the key effects of environmental training in enabling the novel abilities of managers and employees to better understand environmental data and identify novel potential environmentally friendly solutions in the case of deviations. This paper also adds to Wijethilake et al. (2017), providing new empirical evidence on how firms design, implement and use MACS that capture institutional pressures for sustainability from multiple stakeholders.