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The purpose of this paper is to examine the relationships among choice of industry diversification, capabilities and business group performance, as well as to point out the potential concern about endogenous role of industry diversification.

Using data from the top 100 business groups in Taiwan from TEJ database. This study uses Heckman’s two-step estimation procedure and contingency model to achieve unbiased results and examine our hypotheses.

The results of this study find that if business groups’ marketing or operational capabilities are strong they should adopt a high level of diversification strategy and if business groups’ R&D capability is strong they should adopt a low level one. The results of this study also show that the endogenous problem of industry diversification exists, and needs to be considered. Moreover, our finding confirms the importance of capability–strategy fit, which, in turn, can achieve better performance.

On average, high industry diversification groups perform better than low industry diversification groups after controlling for endogeneity issues. Business groups can achieve better performance if their strategy choices match the capabilities they encounter. Managers should pay attention to strategy-capability fit issues. Specifically, they should review their organizational capabilities as well as check their strategies within firms.

This study is one of the first that attempts to explore the endogenous role of diversification strategy choices, and empirical examine strategy-capability fit on business group performance.

The purpose of this paper is to explore whether sellers can create extra profit through information premiums. Phenomena surrounding asymmetrical information transmission among buyers is also explored..

This paper uses three experimental designs to manipulate asymmetrical information acquisition among buyers (including insiders and outsiders) by exploring the related effects in online auctions. Questionnaires are used to collect the final willing‐to‐pay auction prices for buyers in each situation. The analyses are performed with SPSS software, using paired t‐tests and ANCOVA analysis.

Information premiums between insiders and outsiders are significantly different under diverse manipulative factors. ANCOVA shows a significant relationship in information traits, information acquisition costs, brand signals and information premiums among buyers.

The paper employs a highly‐involved design and only considers one product category: MP3 players; other types of products are not included.

The results show that sellers can create extra profit through information traits, information acquired cost, and brand signals; results are from the asymmetrical information transmission process among buyers.

This research is one of the first that attempts to explore the asymmetrical information transmission process and effects among buyers in online auctions.

The objective of this research is to assess whether two events, the 9‐21 Earthquake in 1999 and the Severe Acute Respiratory Syndrome outbreak in 2003, had a temporary or long‐term impact on the inbound tourism demand from Japan. Furthermore, a comparative study is conducted to assess whether intervention analysis produces better forecasts compared with forecasts without intervention analysis.

The data adopted in this study consist of monthly visitor arrivals from Japan to Taiwan for the period January 1979‐September 2006. The first 321 observations ( January 1979‐September 2005) are used to develop two tentative models, with and without intervention analyses, and then compare with the known values (October 2005‐September 2006) for accuracy testing.

Experimental results show that the effect of both disasters on Japanese inbound tourism presented only temporarily, and the forecasting efficiency of ARIMA with intervention is superior to that of a model without intervention.

The study had difficulty accurately delineating the rebound in Japanese tourist based on monthly data. There are other factors that might influence a rebound, such as people' fading memories or the purpose of visitation. The geographic proximity of Taiwan to Japan could also account for perceived risk factors.

The results indicate that the Japanese inbound arrivals sharply dropped following both of the two disastrous occurrences, suggesting that the Japanese tourists are likely to be responsive to prompt marketing strategies and messages. The practical implication for tourism operators include the usefulness of reinforcing the package holiday by establishing an attractively priced travel package or offering a package with a variety of highly desirable or unique features to increase competition.

This study is a first attempt in the tourism literature to model Japanese demand for travel to Taiwan after these two traumatic crises.

The purpose of this paper is to analyze how national stereotype, country of origin (COO), and fashion brand’s images influence consumers’ brand evaluations and purchase intentions regarding fashion collections. Korea (Seoul) and overseas (New York and Paris) collections are compared and analyzed.

The authors conduct a structural equation modeling and multi-group analysis using data collected from Seoul, New York, and Paris.

Consumers make higher brand evaluations and ultimately have stronger purchase intentions toward fashion collections from countries that have stronger COO and fashion brand images. In the context of fashion collections, COO image is greatly influenced by a nation’s political economic and cultural artistic images. In addition, comparing the domestic Seoul fashion collection with New York and Paris collections reveals that a national stereotype images, COO images of fashion collection, and fashion brand’s images cause different brand evaluation and purchase intention.

The overarching value of the study is that it expands COO research, which has been limited to actual products. Also, the results provide a basic foundation for establishing marketing strategy based on COO image as a way to enhance the development and image of fashion collection.

International Journal of Logistics Management (IJLM) celebrated 30 years of its publication in 2019. This study provides a retrospective overview of the IJLM articles between 1990 and 2019.

The authors applied bibliometrics to study and present a retrospective summary of the publication trends, citations, pattern of authorship, productivity, popularity depicting influence, and the impact of the IJLM, its contributors, their affiliations, and discusses the conceptual layout of IJLM's prolific themes.

With 23 yearly articles, IJLM contributed 689 specialized research papers on Supply Chain Management (SCM) by 2019. Authorship grew by 42 new contributors adding up to 1,256 unique IJLM authors by 2019. Each of its lead contributors associated with 1.55 other authors to contribute an article in the journal among which 93% are cited at least once. Survey-based research dominated in last 30 years. The h-index of the journal is 73 while its g-index suggests that 133 IJLM articles were cited at least 17,689 times in Scopus. IJLM authors affiliated to the Cranfield University and the US contributed the highest count of articles. Bibliographic coupling analysis groups IJLM articles into eight bibliographic clusters while network analysis exposes the thematic layout of IJLM articles.

The literature selection is confined to the Scopus database starting from 1990, a year before the inception of the IJLM, thereby limiting its scope.

This study is the first retrospective bibliometric analysis of the IJLM, which is useful for aspiring contributors.

To gain the highest performance in technological efforts, firms have to balance their technology sourcing portfolio, i.e. they have to decide how to source the required technology and whom to source from. This paper aims to tackle the issue by investigating the factors affecting the technology sourcing portfolio composition and the effect of the portfolio diversity on the performance outcome.

An inductive multiple case study was performed. Data of four biopharmaceutical producer firms in the period of 1998-2017 were collected. To expand the under study time span, the under study firms were all chosen from the first-comer ones. They entered the NBP arena in the 1998-2008 period, i.e. the period in which Iranian NBP industry was in its formation stage.

This paper detects the affecting technology-, firm-, industry- and national level factors in Iran biopharmaceutical industry and analyses their influencing mechanism. It is demonstrated that there are factors in a developing country, specifically Iran, which do not matter in developed countries. In addition, the synergistic effect of using various technology sources vehicles is confirmed.

Inaccessibility to infrastructures and global communication barrier problems are features of Iran innovation system. Such features discourage the foreign firms to make long-term investments in Iran which consequently deprives Iranian firms of their knowledge and technology. The modification of these problems is suggested.

Factors such as access to infrastructures and global communication barrier are not prevalent in developed countries; therefore, less attention has been paid to them in the literature.