PurposeFew well-documented studies have explained the importance of researching firms' marketing analytics capability (FMAC). In spite of its significance, there is scant attention to conceptualising and empirically investigating FMAC and its consequences in a data-driven business context. Thus, this study aims to develop and test a conceptual model that relates FMAC and its repercussions in the data-rich business environment.Design/methodology/approachThis study analysed the data from 250 managers amongst large and medium-sized manufacturing and service-intensive firms. Furthermore, this research performed an empirical study by using operationalised questionnaire survey method to verify the hypotheses and reach its theoretical and managerial implications. Structural equation modelling with maximum-likelihood estimation method was applied to verify the validity of the proposed research model.FindingsMultivariate analysis results show that FMAC significantly influences firms' competitive marketing performance (FCMP) with the presence of holistic marketing decision-making (HMDM) as a mediator. Moreover, adoption of artificial intelligence (AAI) enhances the relationship of FMAC-HMDM and FMAC-FCMP linkages.Practical implicationsThis study analyses how FMAC can enhance FCMP and contributes to resource-based views and technological capability theories. From a managerial perspective, guidelines are provided for marketers to adopt advance technologies, such as AI, to optimise FMAC and HMDM to achieve competitive marketing performance.Originality/valueBelieving that “how to be competitive in marketing performance under data-rich-environment”, this research is the first to use the data of a firm manager to facilitate the understanding of FMAC, which provides a new direction for improving marketing performance. In addition, HMDM and AAI are also proposed for firms to optimise FCMP.

Purpose As a global pandemic, the COVID-19 crisis has profoundly affected the development of local firms, threatening the survival of small and medium enterprises (SMEs). This study aims to present an integrated framework by investigating the impact of strategic tools (i.e. firms’ capability of business agility, marketing operational efficiency, optimisation of innovation capability [OIC], managing employees’ satisfaction and rethinking customers’ experience) on the survival strategies of SMEs amidst the COVID-19 pandemic. Design/methodology/approach The current study used data from managers of SMEs and conducted an asymmetrical analysis (i.e. structural equation modelling [SEM]) to investigate the factors influencing the survival strategies of SMEs amidst the COVID-19 pandemic. This study also applied an asymmetrical approach (i.e. fuzzy sets qualitative comparative analysis-fsQCA) to explore the causal recipes and analysis of the necessary conditions to identify the factors required to achieve the expected outcome. Findings Results from SEM support all hypotheses. Results from fsQCA with the same data set show that firms’ business agility and OIC are necessary conditions for SMEs’ survival strategies. The result from fsQCA also reveals multiple sufficient conditions to succeed SMEs’ survival strategies amidst the COVID-19 pandemic. Practical implications Findings prescribe how SMEs adapt to this vulnerable business condition by applying the strategic tools and recipes suggested for survival. Originality/value This research applied an innovative analysis to reveal necessary and sufficient conditions that conventional methods such as SEM have limited power. This pioneering research in the context of the COVID-19 pandemic is considered novel in terms of the prescriptive strategic recipes offered to SMEs to adapt to and survive in the crisis caused by COVID-19.

Abstract:Purpose: This research aim to investigate the influence of service quality attributes towards customers' loyalty on health insurance products. In addition, this research also tested the mediation role of perceived value in between service quality and customers' loyalty on health insurance products.Design/methodology/approach: Based on the literature review, this research developed a conceptual model of customers loyalty embedded with service quality and perceived value.This research applied convenience sampling method. The study surveyed 342 healthcare insurance customers through self-administered questioner. Apart from assessing the reliability and validity of the constructs through confirmatory factor analysis, this research also used structural equation modelling (SEM) approach to test the proposed hypothesis. Findings:The results from the inferential statistics revealed that the healthcare insurance customers are highly influenced by service quality followed by the perceived value in reaching their loyalty towards a particular health insurance service provider. Research limitations/implications:The sample for this study is based on health insurance customers only and it is suggested that future studies enlarge the scope to include others type of customers of different insurance products.-1639-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1494Practical implications: In order to encourage the customers to more loyal towards their service providers, this research will add value for the mangers to understand the items of service quality and considering the perceived value of the target customers in order to optimize their loyalty. As whole, the outcome of this research will assist managers for better understanding of the customers' loyalty antecedents under the perspective of healthcare insurance products. Originality

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PurposeThe marketing information system (MkIS) in the data-rich business environment receives all the attention these days, but as essential and perhaps even more essential is the marketing information system management capability (MkISMC). Although many service firms apprehend the return from MkIS, others clearly struggle. It seems that MkIS management capability dynamics and their direct/indirect holistic influence on service firm's competitive performance (SFCP) are unsolved in the current data-driven service economy. This study aims to conceptualize a model and test the antecedents on service firms' competitive performance.Design/methodology/approachThis study utilizes a survey of a sizeable sample of service firms’ managers at the firm level. A total of 250 useable responses were obtained and analyzed through structural equation modeling.FindingsResults reveal that variables under their respective direct influences are positively and significantly related. Interestingly, MkISMC has a relatively large magnitude of positive and direct effects on service firms' competitive performance. The other variables, such as the use of marketing analytics (UMAN), service innovation and management (SINM), partially mediate the effect of MkISMC on the competitive performance of service firms.Practical implicationsThe findings inform practitioners that MkISMC, UMAN and SINM play a vital role in attaining service firms' competitive performance in the data-rich environment. Overall, it deepens the understanding of the mediation effect of UMAN and SINM of service firms on competitive performance.Originality/valueThe study advances theoretical understanding of resource-based view (RBV), market orientation and dynamic capability that formulate the relationship of MkISMC, UMAN and SINM in attaining SFCP in the ever-changing data-driven business economy.