Purpose This study aims to provide a contemporary, holistic and systematic review regarding the impact of country-of-origin on industrial purchase decision-making by ascertaining, synthesizing and evaluating theoretical, methodological and empirical dimensions of studies on the subject. Design/methodology/approach After the collection and refinement of 43 studies that appeared in marketing, business and management literatures during 1970-2017, systematic review was applied to discover the current situation and future research directions on the subject. Findings The vast majority of the existing studies obtained data from a single source even though industrial purchase decisions are mainly made by a large group of decision-makers. Moreover, the existing literature contains few over-studied theoretical perspectives while lacking integration of the subject with the more contemporary ones. Additionally, in the literature, combination of developing countries as source countries, and developed ones as target countries, is under-examined, and the differentiation between country-of-design and country-of-assembly is mainly avoided during operationalization. Finally, majority of the studies lack investigation of antecedents and mainly investigated few over-examined constructs as outcomes. Research limitations/implications This study provides a conceptual synthesis of existing studies. A meta-analysis may be applied to empirical studies for providing a further detailed framework. Originality/value This study contributes to industrial marketing literature by providing a compiled and synthesized inventory of knowledge for scholars; deriving a comprehensive analysis of research designs, methodologies and findings addressed by researchers in the field; noticing various theoretical, methodological and other gaps to be examined; and providing future research directions.

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Purpose This paper aims to provide a comprehensive and systematic review of the extant empirical body of knowledge regarding the impact of Guanxi on international Business-to-Business (B-to-B) relationships. Design/methodology/approach After the collection and refinement of studies that appeared in marketing, business and management literature during 1995-2018 period, a systematic review was conducted to discover the current situation and future research directions on the subject. Findings Theoretically, vast majority of the reviewed studies lacked a theoretical foundation, with the remainder anchored primarily on the resource-based view, social network theory and social exchange theory. Methodologically, Ganqing, Xinren and Mianzi are the most frequently investigated dimensions, whereas Renqing is the least investigated dimension. Data are mostly obtained from both Chinese and Western counterparts through survey and analyzed through univariate and multivariate data analysis techniques. Empirically, extant research focused on many diverse outcomes including trust, financial performance, cooperation, satisfaction, time orientation, opportunism and liability of foreignness, while under-examining the drives of Guanxi. Research limitations/implications This study provides a synthesis of extant line of research on the subject that are published in peer-reviewed international journals, which publish research in English. A meta-analysis may be conducted for providing a further detailed framework. Originality/value This study contributes to international marketing literature by providing an in-depth and synthesized inventory of knowledge to scholars; deriving a comprehensive analysis of theoretical foundations, methodological approaches and findings addressed by scholars in the field; noticing theoretical, methodological and empirical gaps to be examined; and providing future research directions.

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Social media analytics (SMA), referring to the collection and analysis of user generated data from social media platforms, attract attention of both researchers and practitioners striving to derive consumer insights. The SMA domain grows multifariously, with a highlight on the capability of machine learning algorithms in capturing noteworthy insights through processing high-volume and complex data in a cost effective way. As machine learning applications draw attention as a fertile area that may re-shape the future of SMA, there is a need to comprehend trends and approaches in an integrative framework. Accordingly, this study aims to present an integrative framework by portraying machine learning application trends and approaches in SMA. 42 scientific articles published in refereed scientific business, management, and computational science journals between the years 2013 and 2019 are analyzed via systematic literature review based on visual text mining method (SLR-VTM). The results revealed five distinctive research clusters as: (1) review sites, (2) microblogs, (3) social networking sites, (4) content communities, (5) cross-media. This analysis plays a crucial role for enhancing our understanding regarding the intellectual structure of the field, acknowledging the leading studies of the domain, better positioning future research, and determining gaps and new paths for researchers.