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This study aims to propose a refined dynamic network slacks-based measure (DNSBM) to evaluate the efficiency of China's regional green innovation system which consists of basic research, applied research and commercialization stages and explore the influencing factors of the stage efficiency.

A two-step procedure is employed. The first step proposes an improved DNSBM model with flexible settings of stages' input or output efficiency and uses second order cone programming (SOCP) to solve the non-linear problem. In the second step, least absolute shrinkage and selection operator (LASSO) and Tobit models are used to explore the influencing factors of the stage efficiency. Global Dynamic Malmquist Productivity Index (GDMPI) and Dagum Gini coefficient decomposition method are introduced for further discussion of the productivity change and regional differences.

On average, Chinese provincial green innovation efficiency should be improved by 24.11% to become efficient. The commercialization stage outperforms the stages of basic research and applied research. Comparisons between the proposed model and input-oriented, output-oriented and non-oriented DNSBM models show that the proposed model is more advanced because it allows some stages to have output-oriented model characteristics while the other stages have input-oriented model characteristics. The examination of the influencing factors reveals that the three stages of the green innovation system have quite diverse influencing factors. Further discussion reveals that Chinese green innovation productivity has increased by 39.85%, which is driven mainly by technology progress, and the increasing tendency of regional differences between northern and southern China should be paid attention to.

This study proposes an improved dynamic three-stage slacks-based measure (SBM) model that allows calculating output efficiency in some stages and input efficiency in the other stages with the application of SOCP approach. In order to capture productivity change, this study develops a GDMPI based on the DNSBM model. In practice, the efficiency of regional green innovation in China and the factors that influence each stage are examined.

This paper reports on a comprehensive study of business schools in the UK. Data were obtained from two mail surveys ‐ one of faculty members and the other of deans from all of the UK business schools. Among the factors studied were demographic and institutional characteristics; the time faculty spends on major activities; faculty rewards, competencies and networks; faculty interaction with business; receptivity and support for increased interaction; benefits of increased interaction; characteristics of faculty who do applied research; barriers to applied research; and the role of advisory boards. The results show an internal alignment of activities and rewards for teaching and research, but limited support for applied and collaborative research, and a divergence between the two principal activities ‐ academic research and teaching. Interaction by business school with business appears to be mostly information passing.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

A discussion of the communication of research results has to begin with clarification of the terms and with a limiting of the boundaries of a subject too wide for a single talk. Though scientific knowledge acquired for its own sake is eventually applied and though communication in pure science also has its problems, Aslib is primarily interested in science applied to technology; and so I shall limit my discussion to problems of communication in applied science. But even the term ‘applied science’ embraces a wide spectrum of problem‐solving activities: the problems at one extreme are to find technological applications of new scientific theories and, at the other, to find optimum solutions of technological problems for a given set of economic and practical conditions. It is convenient to retain the term ‘applied science’ for research work which springs from science and looks towards its application; work which springs from a technological problem and looks towards science is best called ‘technological development’ or simply ‘development’. In most industrial laboratories both applied science and technological development are undertaken side by side, and rightly so since each stimulates the other, but the distinction between them is needed here because, as we shall see, their communication processes are different.

The “relevance literature” often moans that the publications of top-ranked academic journals are hardly relevant to managers, while actionable research struggles to get published. The purpose of this paper is to propose a theoretical explanation of this phenomenon.

This paper addresses the relevance debate in management science through the theoretical frame of the theories of the firm.

This paper proposes that business organizations should tend to internalize specific applied research. Applied to management research, this could explain why the “market” for academic publications might be more relevant for generalizable and conceptual research than for applied, contextualized research.

The paper is conceptual. However, it provides a new prospect to the rigor-relevance debate and to the ranking of researchers and business schools.

Business organizations should tend to internalize specific, applied research. Consequently, academic publications should concentrate on generalizable, “Mode 1” research.

The conclusions could justify the evolution of the rating of universities and researchers towards a multi-dimensional rating, including measures of the socio-economic impact of the research, instead on focusing on academic publications only.

This paper offers a new point of view on the rigor-relevance debate. It supports the idea that applied and conceptual research are different forms of knowledge and should be “traded”, produced and rewarded differently.

This study analyses development of research-related innovation activities in a University of Applied Sciences (UAS) in Finland. Focus on production of innovations in relation to academization challenges the traditions of applied research in UAS, which has always relied on collaboration with local stakeholders.

Drawing on the approach of cultural-historical activity theory, the study conceptualizes development of innovation activities as a movement across multiple intertwined developmental lines. The authors ground these conceptualizations in the data, coming from interviews with key researchers in a multidisciplinary research project on smart bioeconomy at a Finnish UAS.

Development of research-related innovation activities in the UAS happened along six lines: development of researcher's expertise, development of project, development of organization, development of research, development of field and development of funding models and policies. The developmental tensions between the lines were essential for promotion of innovation activities.

The study reveals the complex multilayered nature of research-related innovation activities in the specific context of UAS, where it creates challenges and opportunities for developing the traditions of applied research. The results encourage UAS to critically evaluate their changing role as research institutions in regional, national and international innovation systems.

The overall goal of science is to build a valid and reliable body of knowledge about the functioning of the world and how applying that knowledge can change it. As personnel and human resources management researchers, we aim to contribute to the respective bodies of knowledge to provide both employers and employees with a workable foundation to help with those problems they are confronted with. However, what research on research has consistently demonstrated is that the scientific endeavor possesses existential issues including a substantial lack of (a) solid theory, (b) replicability, (c) reproducibility, (d) proper and generalizable samples, (e) sufficient quality control (i.e., peer review), (f) robust and trustworthy statistical results, (g) availability of research, and (h) sufficient practical implications. In this chapter, we first sing a song of sorrow regarding the current state of the social sciences in general and personnel and human resources management specifically. Then, we investigate potential grievances that might have led to it (i.e., questionable research practices, misplaced incentives), only to end with a verse of hope by outlining an avenue for betterment (i.e., open science and policy changes at multiple levels).

We examine the determinants of multinational firms’ propensity to conduct R&D activities in host countries, with specific attention to the influence of host countries’ university research. We consider heterogeneous locational drivers related to the type of R&D activity: basic research, applied research, development for local markets, and development for global markets. Drawing on official survey data on R&D activities by 498 Japanese multinational firms in 24 host countries and estimating two-stage models, we find that the likelihood that firms conduct R&D in a host country is generally increasing in the strength of university research. Conditional on a firm’s R&D presence, university research strength is associated with a greater propensity to conduct (basic) research activities rather than (local) development, while the intensity of host country university–industry collaboration is most strongly associated with applied research. Host country experience and the depth of the firm’s manufacturing presence are also associated higher propensities to engage in research.

Nowadays, the agricultural business environment is expended to the whole world. Transaction records in point of sales and customer relationship management (CRM) systems can be large-scale data for long-established global chain businesses. Thus, the purpose of this paper is to using a proposed data mining approach to discover valuable markets/customers of urban coffee shop industry (retailer) in current environment of Taiwan, which can implement the industry's data-driven marketing strategy on a CRM system.

In this research approach, Ward's method, C5.0 decision tree and a proposed model are applied for discovering valuable markets and mining useful customer rules.

These found markets and discovered rules can be applied on marketing information or CRM system for identifying valuable customers and target markets.

In this study, the CRM system can be the media for the data-driven marketing strategy in environment of Taiwan. The approach of this research can be applied on other businesses for their data-driven marketing strategies as well.