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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 purpose of this paper is to examine quality satisfaction between transactional and relational customers in e-commerce, and it also explores the moderating effect of perceived control and perceived enjoyment on quality satisfaction.

Multivariate analysis of variance and two-way ANOVA were conducted to test the study hypotheses. The samples include 470 university students in the northeastern USA to whom an online survey was administered.

Results show that system quality satisfaction is more significant for transactional customers, but information quality and service quality satisfactions are more important for relational customers. Moreover, perceived control and perceived enjoyment partially moderate quality satisfaction between transactional and relational customers.

One limitation is that a student cohort is selected as the sample. This study verifies the understanding of quality satisfaction between transactional and relational customers in e-commerce.

Practitioners shall consider the quality of services for fitting different types of customers. While a high-quality system design is better for new customers, high-quality information and service support is helpful for loyal customers. However, if loyal customers have a high degree of perceived control, they may also be more sensitive to system quality satisfaction. Similarly, if new customers have a high degree of perceived control or a high degree of perceived enjoyment, they may be more sensitive to information quality satisfaction.

This study contributes to the knowledge regarding quality satisfaction for transactional and relational customers in e-commerce.

A workstation‐based system for materials planning is intended to complement a host‐based materials‐planning system, thereby leading to a multi‐level system that combines fully detailed planning procedures with “aggregate” decision support capabilities. Planning objects as well as planning procedures are formulated within the relational database frame‐work. By that means, at execution time the database management system guarantees processing efficiency as well as consistency control. After a short characterisation of the state‐of‐the‐art of database utilisation in conventional materials planning, a set of requirements which have to be met by the proposed approach is formulated. Based on this, the suitability of the relational database model as a framework for multi‐stage materials planning is discussed. In particular, the integration of abstraction hierarchies is emphasised and hierarchical planning procedures adopted from artificial intelligence are integrated into the concept. Some examples adopted from a prototype show that, at least for simple planning problems, it is possible to achieve end‐user support at any level of detail when using a relational database system for materials planning.

Farradane's system of relational indexing, which had been previously used in a retrospective search system with good results, was further tested as the indexing language for an experimental S.D.I. system. Sections of Metals Abstracts were used for the data base of 2,820 abstracts, and forty‐three volunteer users participated in the experiment which lasted for six months. Performance was assessed by recall, precision and fallout ratios, and the ‘coefficient of association’ (Q value) and the product (recall X precision) were used as overall measures. The overall average performance was about 75% recall and 75% precision. A failure analysis was also carried out. The browsing strategies incorporated into the system were analysed, as were the profile structure, the distribution of performance measures and possible relationships between recall, precision and generality. Farradane's relational indexing appeared applicable to the different scientific area of the properties of metals and again gave good results with a greater depth of indexing. Some new features of the system were observed.

A survey of current work on database systems is presented. The area is divided into three main sectors: data models, data languages and support for database operations. Data models are presented as the link between the database and the real world. Languages range from formal algebraic languages to attempts to use a dialogue in English to formulate queries. The support includes hardware for content addressing, database machines and software techniques for optimizing and evaluating group expressions. Mathematical models are used to organize this support. Throughout there is a tutorial component and evaluation, which in both cases is related to the application of database ideas to documentation.

This paper seeks to examine the inter‐organisational processes used to control international master franchise agreements from operational, relational and evolutionary perspectives.

The research is undertaken through a qualitative, in‐depth case study in the international hotel industry. The case comprises an international master franchise agreement between a large US‐based hotel franchisor and its European master franchisee.

The study identifies the inter‐related nature of operational and relational control processes and how these evolve over the life of a master franchise agreement. It reveals how the perceptions of franchise members serve to enhance or inhibit the development of relational norms and how these, in turn, impact on the predominant type of control and the specific inter‐organisational processes employed.

The research is based on a single in‐depth case study within one industrial context and the universality of the findings may therefore be limited.

The paper offers insights to managers of international master franchise agreements on the interaction between members' perceptions, relational norms developed and the inter‐organisational processes used to control the agreement. It also reveals how the use of contractual controls can inhibit the development of relational norms and negatively impact on relationships between franchisors and master franchisees. The findings presented may have relevance to managers of other types of international alliance agreements.

By drawing on both the alliance and franchise literature and employing a qualitative approach, the study helps to close a gap in the current international franchise literature through the identification of specific inter‐organisational processes for control within international master franchise agreements, how these evolve in respect of relational norms and how these are underpinned by perceptions of franchisor and franchisee members.

What makes employees feel well within an organization? The aim of the present chapter is to start from a paradigm that emphasizes human relationality, affectivity, and intersubjective systems, and accordingly focuses on how well-being is emerging from contextual interrelations between employees. Applying this perspective to a qualitative study of nurses in a nursing home, I came to see the work community as a well-being-generating system in which the well-being of individual members is constructed together as an ongoing social accomplishment. In addition, I identified four systemic processes within the work community that greatly influence the well-being-generating capacity of the system.

At the heart of successful automated manufacturing systems lies the idea of effective integration of various functions. In any sizeable application of a Computer Integrated Manufacturing (CIM) system, an enormous amount of complex data needs to be logically integrated and managed. Presents and discusses the complex nature of CIM data and the difficulties associated with managing them. Given these difficulties, effective data management of such advanced manufacturing systems poses a challenging task for system designers and managers. Given the growing rate of diffusion of relational databases, it is important to explore the capabilities of this technology in serving the data management needs of manufacturing systems. Proposes a relational database schema, as opposed to a hierarchical or a network model. Uses appropriate examples from a Cellular Manufacturing setting to illustrate the proposed schema. Discusses issues related to distributing and logically integrating databases, and outlines managerial implications associated with rapidly changing information management technologies.

Research on leaders’ knowledge management systems focuses exclusively on how leaders gather and disseminate knowledge in collaboration with external actors. Not much is known about how leaders address the psychological aspects of employees and strategize internal communication. In addition, while previous work has treated high uncertainty as a default feature of crisis, this study aims to propose that perceived uncertainty varies in experience/meaning and has a crucial bearing on the relative balance of cognitive/emotional load on the leader and behavioral/psychological responses.

The authors contribute by qualitatively examining the role of leader knowledge systems in designing communication strategies in the context of the COVID-19 crisis by investigating communication characteristics, style, modes and the relatively unaddressed role of compassion/persuasion. In this pursuit, the authors interviewed 21 C-suite leaders, including chief executive officers, chief marketing officers, chief financial officers, chief human resource officers and founders, and analyzed their data using open, axial and selective coding, which were later extracted for representative themes and overarching dimensions.

Drawing from grounded theory research, the authors present a framework of knowledge systems and their resultant communication with employees in high uncertain and low uncertain crises. The authors highlight interactions of a set of concepts – leaders’ preparedness, leaders’ support to employees tailored communication adapted to perceived uncertainty, leading to enhanced trust – in the achievement of outcomes related to balancing operational and relational systems with employees. The findings suggest that a structured process of communication helps employees mitigate any concern related to uncertainty and feel confident in their leadership.

The research has implications for leaders in managing their knowledge systems, for human esources practitioners in designing effective internal communication programs, as well as for scholars in knowledge management, communication and leadership.

The relational model and relational database management systems have been the de facto industry standard for organizing and managing data in most computer‐integrated manufacturing environments. In recent years, however, some new database technologies have emerged – namely, object‐oriented and hybrid or extended relational – making the job of the CIM managers more difficult with regard to selecting a database technology that would be most appropriate for their operations. Presents a framework for selecting an appropriate DBMS type in a CIM setting depending on a company′s ENTITY and DATA needs. It is hoped that the presented framework would prove useful to practising managers.