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PurposeUsing conservation of resources (CoR) theory, this study investigates the role of emotional energy as a mediating mechanism in the relationship between workplace ostracism and employees' service-oriented behaviour, as well as the moderating result of workload on the relationship between emotional energy and service-oriented behaviour.Design/methodology/approachThe opinions of 554 customer-contact employees working in Bangladesh are collected via convenience sampling. Partial least squares structural equation modelling is performed to test the model.FindingsWorkplace ostracism and emotional energy are negatively related. Emotional energy is positively associated with service-oriented behaviour and mediates the link between ostracism and service-oriented behaviour. Workload significantly and negatively moderates the association between emotional energy and service-oriented behaviour.Practical implicationsHoteliers need to improve employees' emotional energy, distribute workload appropriately and fairly and implement effective strategies to minimise workplace ostracism.Originality/valueThe findings contribute to the CoR theory by explaining the mediating role of emotional energy and moderating role of workload in the Bangladeshi hospitality industry.

PurposeThe aim of the study is to examine the impact of the big data analytics capabilities (BDAC) on the organizational performance. The study also examines the mediating role of ambidexterity and the moderating role of business value of big data (BVBD) analytics in the relationship between the big data analytics capabilities and the organizational performance.Design/methodology/approachThis study collected primary data based on a questionnaire survey among the large manufacturing firms operating in UAE. A total of 650 questionnaires were distributed among the manufacturing firms and 295 samples were used for final data analysis. The survey was conducted from September to November in 2019, and data were analyzed based on partial least squares structural equation modeling (PLS-SEM).FindingsThe big data analysis (BDA) scalability is supported by the findings on the performance of firm and its determinants such as system, value of business and quality of information. The roles of business value as a moderator and ambidexterity as mediator are found significant. The results reveal that there is a need for managers to consider the business value and quality dynamics as crucial strategic objectives to achieve high performance of the firm.Research limitations/implicationsThe study has significant policy implication for practitioners and researchers for understanding the issues related to big data analytics.Originality/valueThis is an original study based on primary data from UAE manufacturing firms.

PurposeThis study investigates the impact of traditional marketing analytics and big data analytics on the success of a new product. Moreover, it assesses the mediating effects of the quality of big data system.Design/methodology/approachThis study is based on primary data that were collected through an online questionnaire survey from large manufacturing firms operating in UAE. Out of total distributed 421 samples, 327 samples were used for final data analysis. The survey was conducted from March–April 2020, and data analysis was done via Structural Equation Modelling (SEM-PLS).FindingsIt emerges that big data analysis (BDA), traditional marketing analysis (TMA) and big data system quality (BDSQ) are significant determinants of new product development (NPD) success. Meanwhile, the BDA and TMA significantly affect the BDSQ. Results of the mediating role of BDSQ in the relationship between the BDA and NPD, as well as TMA and NPD, are significant.Practical implicationsThere are significant policy implications for practitioners and researchers concerning the role of analytics, particularly big data analytics and big data system quality, when attempting to achieve success in developing new products.Originality/valueThis is an original study based on primary data from UAE.

International audience ; There are many market segmentations in the credit card industry in Malaysia. One of the special categories of credit card is dedicated to the women group only and promoted as a tool for increasing women empowerment, women entrepreneurship development and women financial access ability. Therefore, this study compares the features of credit cards dedicated to women and credit cards in general in Malaysia through descriptive statistics and one-way ANOVA test. This study utilizes data of currently available total 234 unique credit cards including four credit cards dedicated to the women group. The data analyses 13 features of credit cards. Among them only two features of credit cards dedicated to women are statistically significantly different from credit cards in general, which are annual charge for balance transfer and cash back facility. Therefore, it is recommended to make more distinguish features in the credit cards that are dedicated to them to encourage more women entrepreneurship as well as to ensure their real financial empowerment. The outcomes of this research will provide useful interpretations to women consumers, business managers, NGOs, government agencies and other policymakers who are working on women's development issues.