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This paper aims to investigate farmers' willingness to adopt new rice varieties and the factors influencing their seed‐selection behaviors.

The Logit model was used to analyze farmers' willingness and the determinants of the behaviors in selecting and using new varieties. A total of 402 farming households in the main rice‐producing areas of Sichuan Province were surveyed.

The results indicate that rice yield and sales, agro‐technicians' popularization, kith and kin's seed purchase behaviors have a positive impact on farmers'choice, while the present production income has a negative effect. But previous seed purchasing behaviors, soil characteristics, media publicity, seed companies' recommendation and age of farmer have either positive or negative impact on farmers' choice.

The paper is however unable to explain the general situation of China so it considers Sichuan province as a case. Increased sample quantities may be necessary in further research.

The paper proposes an hypothesis of farmers' willingness and determinants in choosing new rice varieties and verifies it by Logit model. It first analyzes the farmers'decision‐making behavior in choosing new rice varieties in Sichuan, and investigates the farmers' behavior more scientifically.

This study aims to examine the effects of cruise attributes on impulse buying of service customers through impulsive buying tendency. Specifically, this study investigates whether service attributes (variety of selection and price) influence the impulsive buying behavior of customers by stimulating their impulsive buying tendency.

Partial least squares-structural equation modeling was used to test the hypothesis using a sample of 143 cruise customers. Mediating analysis was conducted to examine whether customer personal traits (impulsivity) mediated the relationship between service attributes and impulsive buying behavior.

The findings showed that price attributions had a significant positive direct impact on impulsive buying tendency and behavior, while a variety of selections had a significant direct effect on impulse buying behavior. The results revealed a significant mediating role of impulsive buying tendency in the relationship between price attributions and impulse buying.

Although studies on the decision-making style of service customers have been widely discussed, a limited number of studies has examined customers’ impulsive buying behavior in the service sector. Considering the importance of impulsive purchasing as a valuable marketing tool, the results of this study can help service providers and researchers enhance their knowledge of the mechanism of impulse buying behavior.

This study surveys professional niche sports sponsors in an effort to empirically understand what selection criteria these companies deem important when evaluating professional niche sports sponsorship proposals. Findings suggest that professional niche sports properties may possess unique attributes on which sponsors place very high levels of importance, such as cost effectiveness, flexibility in assisting sponsors achieve their objectives, a more targeted fan-base and decreased sponsorship clutter. Pragmatically, findings provide professional niche sports managers with tools that may be useful when competing for sponsorship funding against more established mainstream sports properties. Theoretically, the current study begins to fill a gap in the sports sponsorship literature which has primarily focused on mainstream professional sports, major intercollegiate sports and elite amateur sports such as the Olympic Games.

Additive manufacturing (AM) can reduce the process supply chain and encourage manufacturing innovation in remote or austere environments by producing an array of replacement/spare parts from a single raw material source. The wide variety of AM technologies, materials, and potential use cases necessitates decision support that addresses the diverse considerations of deployable manufacturing. The paper aims to discuss these issues.

Semi-structured interviews with potential users are conducted in order to establish a general deployable AM framework. This framework then forms the basis for a decision support tool to help users determine appropriate machines and materials for their desired deployable context.

User constraints are separated into process, machine, part, material, environmental, and logistical categories to form a deployable AM framework. These inform a “tiered funnel” selection tool, where each stage requires increased user knowledge of AM and the deployable context. The tool can help users narrow a database of candidate machines and materials to those appropriate for their deployable context.

Future work will focus on expanding the environments covered by the decision support tool and expanding the user needs pool to incorporate private sector users and users less familiar with AM processes.

The framework in this paper can influence the growth of existing deployable manufacturing endeavors (e.g. Rapid Equipping Force Expeditionary Lab – Mobile, Army’s Mobile Parts Hospital, etc.) and considerations for future deployable AM systems.

This work represents novel research to develop both a framework for deployable AM and a user-driven decision support tool to select a process and material for the deployable context.

The school library media center materials collection has evolved dramatically in the past sixty years from book‐centered collections of “the best reference books and…literature that has a natural appeal to young people” to “media collection(s) which represent the essential informational base of the instructional program.” The purposes of this discussion are: to trace the evolution of four specific aspects of collection development as found in national standards for school library media programs, 1918–1975; to review some of the research of the sixties and seventies that indicates some of the successes, problems, and trends involved in implementing professional guidelines on collection development; and to provide two case studies of organized evaluation and selection programs that serve as examples of an organized cooperative approach to collection development.

This case highlights the green agriculture initiative of the Honliv High Tech Agricultural Development Co., Ltd. towards agriculture environmental protection and better life. In this process, the Honliv Company confronted many difficulties, such as addressing the green transformation concerns of the team, identifying the sustainable agriculture target, the project selection of red globe grape products, the planning of a demonstration vineyard and green marketing. Nevertheless, with the Red Globe Grape of the “Honliv brand” had won the certification of China’s “Grade A” green food mark, and its green marketing initiatives, such as the “picking and demonstration model” had won people’s identification. The company was awarded the honorary titles of “Red Globe grape planting demonstration base with the Chinese characteristics” and “pollution-free science and technology demonstration unit of Chinese fruits and vegetables.” By discussing the Honliv Company’s experience and difficulties during the sustainable agriculture transformation process, one can realize the importance of green agriculture initiatives for creating a better life for humans.

The Green Revolution was a singular event in world history; because of the Green Revolution, world prices for all crops declined. The agricultural mechanization issue was also driven by intellectual property rights (i.e., the right to patent products), as was the agricultural chemical revolution. The livestock industrialization revolution sharply lowered the prices for all livestock products. The Gene Revolution (i.e., the recombinant DNA revolution) further lowered the cost of producing farm products. The Gene Revolution was based on three events. The first was the discovery that DNA (Delbrook) was the carrier of genetic information. The second was the discovery by Watson and Crick of the double helix structure of DNA. The third was the method of stable insertion of DNA into a host genome (Cohen and Boyer). The future of agricultural research depends on the capacity of countries to invent and imitate.

The purpose of this paper is to develop some 2-tuple linguistic aggregation operators based on Muirhead mean (MM), which is combined with multiple attribute group decision making (MAGDM) and applied the proposed MAGDM model for supplier selection under 2-tuple linguistic environment.

The supplier selection problem can be regarded as a typical MAGDM problem, in which the decision information should be aggregated. In this paper, the authors investigate the MAGDM problems with 2-tuple linguistic information based on traditional MM operator. The MM operator is a well-known mean type aggregation operator, which has some particular advantages for aggregating multi-dimension arguments. The prominent characteristic of the MM operator is that it can capture the whole interrelationship among the multi-input arguments. Motivated by this idea, in this paper, the authors develop the 2-tuple linguistic Muirhead mean (2TLMM) operator and the 2-tuple linguistic dual Muirhead mean (2TLDMM) operator for aggregating the 2-tuple linguistic information, respectively. Some desirable properties and special cases are discussed in detail. Based on which, two approaches to deal with MAGDM problems under 2-tuple linguistic information environment are developed. Finally, a numerical example concerns the supplier selection problem is provided to illustrate the effectiveness and feasibility of the proposed methods.

The results show that the proposed can solve the MAGDM problems within the context of 2-tuple linguistic information, in which the attributes are existing interaction phenomenon. Some 2-tuple aggregation operators based on MM have been developed. A case study of supplier selection is provided to illustrate the effectiveness and feasibility of the proposed methods. The results show that the proposed methods are useful to aggregate the linguistic decision information in which the attributes are not independent so as to select the most suitable supplier.

The proposed methods can solve the 2-tuple linguistic MAGDM problem, in which the interactions exist among the attributes. Therefore, it can be used to supplier selection problems and other similar management decision problems.

The paper develop some 2-tuple aggregation operators based on MM, and further present two methods based on the proposed operators for solving MAGDM problems. It is useful to deal with multiple attribute interaction decision-making problems and suitable to solve a variety of management decision-making applications.