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The purpose of this paper is to propose a new model for export market opportunity analysis by combining the marketing‐based overall market opportunity index (OMOI) with the economic‐based gravity model in order to more accurately assess export market potential, in total and for specific industries.

Variables from the gravity and OMOI models are used to analyze export market opportunities for specific industries. Findings – Market size, economic intensity, geographic and language distance, and regional trade agreements (RTAs) are found to be strong predictors of export market attractiveness from a US firm's perspective. Foreign direct investment (FDI) is found to act as both a substitute for and a complement to exports. Cultural distance, based on Hofstede, is not a significant predictor for exports.

The authors' hybrid model extends previous OMOI models and is applied to industry‐level analysis.

The imperatives of globalization are clear across many industries: firms must look to expand into international markets to survive and thrive. This study complements and extends a growing body of work developing and using overall market opportunity indexes (OMOIs) based on Cavusgil (1997) to rank the attractiveness of potential foreign markets. The index developed in this paper assesses countries’ market potential beyond the traditional measures of market size and economic development by also including political risk, economic freedom, telecommunications as well as physical infrastructure and geographic distance. We provide a current analysis of market attractiveness and opportunity for the largest set of countries indexed and ranked to date, including 24 countries not in previous OMOI studies. The validity of the OMOI is also so assessed for the first time by comparing the ranking of market opportunity to actual subsequent trade flows from the US. Furthermore, we compare the dimensions, variables, samples and results from three of Cavusgil and colleague's previous studies and the two conducted herein. The choice of sample and, to a lesser degree, weights are shown to directly affect the OMOIs and rankings. The modified OMOI is shown to be a flexible, valid and fairly stable tool for preliminary analysis of foreign market opportunity.

According to a recent and interesting revision of advances in international marketing theory and practice, the international marketing literature has grown exponentially in recent years in order to offer sufficient support to corporate and public policy makers confronting today's hostile global business conditions (Katsikeas, 2003a). In fact, some of the most relevant academic journals in this field (Journal of International Business Studies, Journal of International Marketing, International Marketing Review, International Business Review, Advances in International Marketing, among others) can be considered highly stable and mature publications, with research articles covering a wide range of topics within the international marketing domain and usually authorized by leading contributors to other high-ranking marketing journals (DuBois & Reeb, 2000; Malhotra, Wu, & Whitelock, 2005).

The purpose of this paper is to explore the formation and growth mechanism of bulk Cu₆Sn₅ intermetallic compounds, selecting Sn‐Ag‐Cu‐Ce solders as specimens.

In order to further enhance the properties of SnAgCu solder, trace amount of rare earth Ce was selected as alloying addition into the alloy; in previous investigations, the enhancements include better wettability, physical properties, creep strength and tensile strength. In this paper, the microstructure of Sn‐Ag‐Cu‐Ce soldered joints and its interfacial intermetallic compounds were investigated. Moreover, different morphologies of Cu₆Sn₅ IMCs were enumerated and described, and Ostwald ripening theory was employed to interpret the formation mechanism of bulk Cu₆Sn₅ IMCs.

In addition, based on finite element simulation, it is found that the von Mises stress concentrate around the bulk Cu₆Sn₅ IMCs inside the Sn‐Ag‐Cu‐Ce soldered joints after three thermal cycling loading (−55‐125°C). From the stress distribution, the failure site was predicted to fracture near the bulk Cu₆Sn₅ IMCs interface. This coincides with the experimental findings significantly.

The results presented in this paper may provide a theory guide for developing novel lead‐free solders as well as reliability investigation of lead‐free soldered joints.

This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its beneficial opportunities for practitioners. In the knowledge management (KM) domain, a clear characterization of the BSD paradigm can lead to more effective and efficient KM strategies, processes and systems that leverage a huge amount of structured and unstructured data sources.

The study adopts a systematic literature review (SLR) methodology based on a mixed analysis approach (unsupervised machine learning and human-based) applied to 199 research articles on BSD topics extracted from Scopus and Web of Science. In particular, machine learning processing has been implemented by using topic extraction and hierarchical clustering techniques.

The paper provides a threefold contribution: a conceptualization and a consensual definition of the BSD paradigm through the identification of four key conceptual pillars (i.e. sources, properties, technology and value exploitation); a characterization of the taxonomy of BSD data type that extends previous works on this topic; a research agenda for future research studies on BSD and its applications along with a KM perspective.

The main limits of the research rely on the list of articles considered for the literature review that could be enlarged by considering further sources (in addition to Scopus and Web of Science) and/or further languages (in addition to English) and/or further years (the review considers papers published until 2018). Research implications concern the development of a research agenda organized along with five thematic issues, which can feed future research to deepen the paradigm of BSD and explore linkages with the KM field.

Practical implications concern the usage of the proposed definition of BSD to purposefully design applications and services based on BSD in knowledge-intensive domains to generate value for citizens, individuals, companies and territories.

The original contribution concerns the definition of the big data social paradigm built through an SLR the combines machine learning processing and human-based processing. Moreover, the research agenda deriving from the study contributes to investigate the BSD paradigm in the wider domain of KM.