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The purpose of this paper is to demonstrate the applications of big data in personal knowledge management (PKM).

Five conventional knowledge management dimensions, namely, the value of data, data collection, data storage, data application and data presentation, were applied for integrating big data in the context of PKM.

This study concludes that time management, computer usage efficiency management, mobile device usage behavior management, health management and browser surfing management are areas where big data can be applied to PKM.

While the literature discusses PKM without considering the impact of big data, this paper aims to extend existing knowledge by demonstrating the application of big data in PKM.

This research investigates whether and how perceived firm remorse (PFR) influences consumers’ coping behaviors in the digital media service recovery context. It also examines how an apology should be delivered to generate PFR.

In Study 1, 452 mobile application service users were recruited for a survey study, and Structural Equation Modeling was used to test the research hypotheses. In Study 2, 1,255 mobile application service users were recruited for an experimental study.

Study 1 shows that PFR negatively influences blame attribution and positively influences emotional empathy. Emotional empathy negatively affects coping behaviors. According to this study, blame attribution and emotional empathy do not have any serial mediation effect on the relationship between PFR and coping behaviors. Only emotional empathy mediates the effect of PFR on coping behaviors. Study 2 finds that response time and apology mode jointly influence PFR.

This research establishes the relationship between PFR and coping behaviors and shows the mediating role of emotional empathy in this relationship.

Service providers should consider response time and apology mode, as the two factors jointly influence the extent of PFR, which affects consumers’ coping behaviors through emotional empathy. A grace period, in which PFR does not decrease, is present when a public apology is offered. Such an effect does not exist when a private apology is offered.

This research explains how PFR influences coping behaviors and demonstrates how apology mode moderates the effect of response time on PFR in the digital media service recovery context.

In the gift industry, there are many large enterprises with strong brand image, customer loyalty, marketing, or service, and they are also rich in retail channels and resources. In this situation, how can brand‐new or small companies thrive in a competitive market? The purpose of this paper is to present a case study from the experiences in Taiwan.

The paper uses intensive interviews with company managers; considers the opinions of experts; and collects useful historical data for analysis.

The paper summarizes eight key success factors for Franz: products and places; unique technology and process; unique business model; cost control capability; high growth in the gift market and popularity of orientalism; access to clients; small organizations; and human resources.

An intensive interview is a kind of oral questionnaire. The interviewee responds to the questions in his/her own way to provide significant answers but this may be considered too subjective.

In order to launch a global brand in the shortest time possible through open innovation strategy, some basic prerequisites need to be met. This must be achieved by creating an open company culture fostering the sharing of ideas and promoting innovative and creative skills, along with flexible management strategies leading to a flat organization structure. Only with the existence of such prerequisites an open innovation system can be integrated properly.

Franz is a classic example of Taiwan's brand‐new companies, which accumulate original equipment manufacturer, original design manufacturer, and own branding and manufacturing experience to succeed in their chosen market.

This present study attempted to examine the difference between brand‐name and bandit technology companies in terms of operating models. Furthermore, the paper aimed to investigate the origin and developmental model of bandit.

This study compared the open innovation approach against a closed one from the perspective of competitive strategies. This study used the content analysis and qualitative system dynamics (QSD) approach to explore the competitive strategies and inhibitory factors of bandit business model, and subsequently presents a causal‐effect loop of business operations development in different stages.

Bandit business model could be divided into three stages, according to the business operations development, namely “growth, inhibition, and re‐growth”. It often faces obstacles, when a bandit business expands to a certain level, stemming from the consequently disadvantageous conditions which limit the enterprise development. A bandit business will not remove such obstacles unless it reinforces its impregnable core values.

This study contributed the attempt to use the qualitative system dynamics (QSD) approach to explore the competitive strategies and inhibitory factors of emerging business model as “bandit”. As bandit products generate high utility for consumers and easily penetrate a demand‐driven market, the Chinese bandit economic behavior (including copycat business practices) omnipresent in the economic market has triggered a controversy across the society. The findings in bandit business model uncovered the reasons that encourage the founding of small‐sized start‐up firms by practitioners, and showed the unseen path for business and innovation model research in the future.

The purpose of this paper is to examine the relationship between product innovation and network and their export performance, particularly in trade fair context. Moreover, this paper conducts a comparative study among services/industrial small and medium-sized enterprises (SMEs) and considers the home-country context. Innovation and internationalization are stagnant themes in the recent literature on trade fairs, so they require to be renewed.

The empirical study includes a survey with 341 SMEs’ respondents separated into both industrial/producer and service/other. A conceptual model was developed and examined from three different perspectives: Model A encompasses all surveyed SMEs, Model B includes only industrial/producer SMEs and Model C comprises service/other SMEs. Data analysis happened in two steps. The first step included the structural equation model (SEM) and the assessment of hypotheses (from three different perspectives). Thus, it was possible to make a comparative analysis between the models. In the second step, the ordered logit model (OLM) is used to study relationships between control variables and the criteria variable export performance.

The SEM’s results confirm a conceptual model about a dynamic trajectory that SMEs, mainly industrial/producer, can take advantage of: innovate to networking and networking to export. The results allowed to verify when comparing services/industrial SMEs that the tangibility which characterizes the innovation of industrial SMEs' products contributed significantly to the performance of business networks and exports. The study also reveals, through the OLM, two catalysts for the success of the SME’s export performance: export experience and continued participation in trade fairs. The OLM results also reveal that the size of the companies is not relevant, so trade fairs are marketing tools accessible to any company, regardless of their size. Finally, the study considered home-country context of the surveyed SMEs, which allowed additional interpretations to be drawn.

The study does not reflect the individual's personality in his network capacity and the export performance was measured based on the level of satisfaction and not on real sales results. However, the study provides relevant practical implications and can support future studies.

The study offers important implications for SME. The results reveal that presenting product innovations at trade fairs is a useful tool for SMEs to create networks, which facilitates their export performance, especially for industrial SMEs residing in small economies such as Portugal. This study is also relevant for business associations of industrial SMEs and/or public or semi-public SME promotion agencies.

This paper contributes to the literature on trade fairs, suggesting a new innovation, networking, export (INE) framework to reflect on the participation in international trade fairs. So, this research especially combines product INE performance in a particular context – international trade fairs for SME. It also considers the home-country context of the SMEs, which adds depth to the study. Finally, the comparative study also provides insightful implications for industrial SMEs on how to improve the export performance from trade fairs by leveraging innovation and networking.

Container shipping is a standardized business-to-business service market where carriers need to stay customer focused to survive. Market segmentation is an ideal solution to develop customized marketing programs for each segment, but container lines need personalized marketing programs for each customer. Hence, the purpose of this study is to develop a segmentation framework that can help container lines to profile each customer more efficiently considering their needs, strategic importance and demographics.

This study has adopted an exploratory approach. Semi-structured interviews were conducted with managers of container lines.

Segmentation bases are the type of customer, container volume, loyalty, seasonality, decision maker, the industry of shipper, cargo characteristics, container type, destination region and export/import. Market segmentation in container shipping can be helpful in developing effective customized marketing offering, including effective price discrimination and customized marketing communications.

A port-specific segmentation approach was adopted and a flexible segmentation framework was proposed for container lines to adapt in different hinterlands.

Unlike the literature, this study suggests market segmentation can be very helpful in customized marketing in business-to-business services like container shipping industry. This study also suggests port-specific market segmentation for container lines instead of route-specific.