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Understanding employee knowledge hiding behavior can serve organizations in better implementing knowledge management practices. The purpose of this study is to investigate how personality and work climate influence knowledge hiding, by examining the respective roles of openness to experience and relational (specifically, communal sharing and market pricing) climates.

Multilevel modeling was used with two distinct samples, one from Vietnam with 119 employees in 20 teams and one from The Netherlands with 136 employees in 32 teams.

In both samples, the hypothesized direct relationship between openness and knowledge hiding was not found. In the Vietnamese sample, only the moderating effect of market pricing climate was confirmed; in the Dutch sample, only the moderating effect of communal sharing climate was confirmed. The findings of the Vietnamese sample suggest that people with a high sense of openness to experience hide knowledge less under low market pricing climate. In the Dutch sample, people with high openness to experience hide knowledge less under high communal sharing climate. The authors conclude that, in comparison with personality, climate plays a stronger role in predicting knowledge hiding behavior.

Small sample size and self-reported data might limit the generalizability of this study’s results.

The paper highlights how organizational context (relational climate) needs to be taken into account in predicting how personality (openness to experience) affects knowledge hiding.

This paper contributes to a better understanding of the knowledge hiding construct by extending the set of known antecedents and exploring the organizational context in which such phenomena happen.

This paper aims to determine the essential “collective goods” which a foreign multinational enterprise (MNE) must have before production can start in a remote area of an emerging economy, and to consider the alternative governance modes available to procure or create these goods.

This purpose is examined conceptually and theoretically. First, the concept of “collective goods” is presented, followed by a consideration of the traditional “buy, ally or make” contractual approaches available to obtain goods and services. These approaches are repositioned in the context of an “emerging economy” so that alternative “ordering systems” as well as “non-contractual” means of obtaining things have to be considered in the context of internalization and reciprocity theories.

It is difficult to obtain collective goods in remote areas of emerging economies where private ordering prevails and even succeeds but at high transaction costs and with substantial government intervention. However, the use of non-contractual modes of exchange such as reciprocity is available to facilitate exchanges between market MNEs and nonmarket state offices and civil-society associations such as non-governmental organizations with which collaboration is necessary but which cannot be acquired or controlled by MNEs. However, market firms can use philanthropy and lobbying to obtain the help of these nonmarket actors who know how to operate under private and state-ordering systems.

Theoretical implications: Internalization theory explains why MNEs are able to obtain collective goods by providing them “in-house”, while reciprocity theory exemplifies how non-contractual modes of exchange can substitute for the traditional but contractual “buy, ally and/or make”.

Managerial implications: In terms of the organizational structure of the subsidiary of an MNE operating in an emerging economy, it appears that the line functions of procurement, engineering and production may rely more on contractual exchanges with foreign suppliers, while the staff functions of public affairs, government relations and human resources may be more adept at using reciprocal exchange with local suppliers.

The provisioning of the collective goods when a firm builds its facilities in a remote and underdeveloped part of an emerging economy has hardly received any research attention nor have the non-contractual ways – such as reciprocity – available in the context of private ordering to obtain these goods.

The research aims to test the links amongst Meyer and Allen's three levels of organisational commitment and the commitment's effect on reducing turnover intentions for Islamic bank (IB) employees during the lockdown caused by coronavirus disease (COVID-19).

The research follows a variable-centred approach. Primary data are collected through a survey of 324 respondents comprising IB employees from three Arab countries, notably the United Arab Emirates (UAE), Lebanon and Oman. Exploratory factor analysis (EFA) and Cronbach's alpha test are conducted to test the construct validity, reliability and internal consistency of collected data. Descriptive statistics are used to interpret the data. Zero-order correlations, multiple regression analysis and Fisher's Z-test are applied to assess the interrelations of the various groups of variables and the determinants of turnover intentions.

Results show that there is a high level of significant intercorrelation amongst affective, normative and continuance commitments as well as amongst organisational commitment, individual differences and turnover intentions for IB employees from the three studied Arab countries. The results confirmed that turnover intentions are minimised in the presence of all three organisational commitment subscales and that individual differences amongst IB employees and organisational efficiency moderate the relationship between organisational commitment and turnover intentions.

There is no empirical work that has been done on the determinants of turnover intentions amongst IB employees during the lockdown. This is valuable to organisational behaviour scholars and practitioners who are interested in the role that organisational commitment plays in IB's employment behaviour.

Research on grey systems is becoming more sophisticated, and grey relational and prediction analyses are receiving close review worldwide. Particularly, the application of grey systems in marine economics is gaining importance. The purpose of this paper is to summarize and review literature on grey models, providing new directions in their application in the marine economy.

This paper organized seminal studies on grey systems published by Chinese core journal database – CNKI, Web of Science and Elsevier from 1982 to 2018. After searching the aforementioned database for the said duration, the authors used the CiteSpace visualization tools to analyze them.

The authors sorted the studies according to their countries/regions, institutions, keywords and categories using the CiteSpace tool; analyzed current research characteristics on grey models; and discussed their possible applications in marine businesses, economy, scientific research and education, marine environment and disasters. Finally, the authors pointed out the development trend of grey models.

Although researches are combining grey theory with fractals, neural networks, fuzzy theory and other methods, the applications, in terms of scope, have still not met the demand. With the increasingly in-depth research in marine economics and management, international marine economic research has entered a new period of development. Grey theory will certainly attract scholars’ attention, and its role in marine economy and management will gain considerable significance.

The traditional grey relational models directly describe the behavioural characteristics of the systems based on the sample point connections. Few grey relational models can measure the dynamic periodic fluctuation rules of the objects, and most of these models do not have affinities, which results in instabilities of the relational results because of sequence translation. The paper aims to discuss these issues.

Fourier transform functions are used to fit the system behaviour curves, redefine the area difference between the curves and construct a grey relational model based on discrete Fourier transform (DFTGRA).

To verify its validity, feasibility and superiority, DFTGRA is applied to research on the correlation between macroeconomic growth and marine economic growth in China coastal areas. It is proved that DFTGRA has the superior properties of affinity, symmetry, uniqueness, etc., and wide applicability.

DFTGRA can not only be applied to equidistant and equal time sequences but also be adopted for non-equidistant and unequal time sequences. DFTGRA can measure both the global relational degree and the dynamic correlation of the variable cyclical fluctuation between sequences.