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Research and theory on diversity in organizations tends to examine relations between the majority and minority and to overlook relations within the minority. In this chapter we explore the dynamics within a minority that represents a token percentage (less than 15%) of the larger group (Kanter, R. M. 1977b). We argue that members of a minority sub-group are subject to inter-group and intra-group pressures and that these pressures are greatest for a minority of two. We introduce the term “duo-status” to describe this two-token situation and examine the positive, neutral, and negative dynamics that result depending on the coping strategy chosen by each member of the duo.

The purpose of the study is to investigate how small- and medium-sized enterprises (SMEs) can effectively collaborate for eco-innovation using the business modes of innovation framework to emphasise three types of collaboration: “science, technology, and innovation” (STI), “learning by doing, using, and interacting” (DUI)-Vertical and DUI-Horizontal.

This analysis uses data from 838 SMEs in the Basque Country (2018–2020) to evaluate the effects of the three types of collaboration on eco-innovation. The authors employ a propensity score-based method to address potential bias associated with endogeneity in innovation studies.

The findings suggest that DUI-Vertical collaboration has a positive relationship with the development of product, process and marketing eco-innovation. Furthermore, DUI-horizontal collaboration is the most effective collaboration mode for SMEs, positively impacting their overall eco-innovation portfolio. Finally, STI collaboration is positively associated with product eco-innovation.

Policymakers should support SMEs by designing programmes that facilitate collaboration between competing firms to stimulate eco-innovation, but potential challenges of coopetition must be addressed. Rather than a generic, one-size-fit-all approach, SMEs' managers should identify the most appropriate partners corresponding to their specific eco-innovation goal, ensuring a more effective and targeted. Collaboration between science partners and SMEs should be reinforced by approximating the SMEs' needs more effectively.

This study contributes twofold. Firstly, the authors investigate whether the STI and DUI modes of innovation are determinant factors in the introduction of various types of eco-innovation. Secondly, the authors contribute to the literature on business modes of innovation by differentiating between DUI-Vertical (i.e. suppliers, customers and consultancy) and DUI-Horizontal (i.e. competitors) collaboration, thus highlighting the complexity of DUI collaboration forms.

This paper aims to examine the influence of individual and combined effects of the mode focused on scientific and technological-based innovation (STI) and the mode based on learning by doing, by using and by interacting (DUI) on firms’ innovation performance and whether information technology (IT) moderates the relation between different innovation modes and firms’ innovation performance.

A conceptual model linking innovation modes, IT (including IT infrastructure and the frequency of IT usage) and firms’ innovation performance was developed, and the proposed hypotheses were tested empirically using World Bank’s micro survey data collected from manufacturing firms in an emerging market (China).

The results show that individually both STI mode of innovation and DUI mode of innovation have a significant positive effect on firms’ innovative performance, whereas the combined STI and DUI mode of innovation has a negative impact. IT infrastructure moderates the relation between STI (or STI and DUI) mode of innovation and firms’ innovation performance, while the frequency of IT usage has no moderating effects on the relationship between any kind of innovation modes and firms’ innovation performance.

Although some results are quite different from what is expected, these are insightful for both academics and policymakers. The use of cross-sectional data has its limitations. Therefore, future studies based on longitudinal data should be conducted. This study points toward the need to conduct the meta-analysis to better explain the existing inconsistencies in the findings of relevant quantitative studies.

This study provides firm managers with practical implications. The conclusions of this study imply that the impact of the combined STI and DUI mode of innovation is likely to be contextual, so firms should make contingent decisions on whether to engage in STI mode of innovation and DUI mode of innovation simultaneously according to their own organizational conditions. Moreover, face-to-face contacts are particularly important when a firm engages in DUI mode of innovation. In addition, the focus of IT strategy of firms engaged in STI mode of innovation should be on perfecting their IT infrastructure rather than increasing the frequency of IT usage.

This paper provides new evidence for the relation between business innovation modes and firms’ innovation performance, and it is one of the few empirical studies that focus on emerging markets. More importantly, this paper proposes a persuasive explanation framework for understanding the heterogeneous impacts of the combined STI and DUI mode of innovation on firms’ innovation performance. This is the first study that examines the moderating effect of IT on the relationship between business innovation modes and a firm’s innovation performance.

While the importance of “science and technology-based innovation” (STI) and “doing, using and interacting-based innovation” (DUI) innovation modes in firm innovation performance has been well-established, little is known about how they affect the innovation performance of young firms. The author examines the most effective innovation mode and boundary conditions for the innovation performance of developing companies.

The author tests the two modes of innovation using data from 159 young firms in China.

The author’s analysis indicates that a higher level of DUI innovation mode is more relevant to the innovation performance of newly established enterprises. Moreover, the effectiveness of the innovation mode is bound by the networks in which the company operates and interacts. The effectiveness of STI and DUI innovation modes is enhanced when there are high levels of innovation and business network interconnectedness from the technology network partner.

These findings have important implications on innovation research as they highlight the joint effects of innovation modes and quality of network ties on young firms seeking to improve their innovation performance.

STI and DUI innovation modes represent different forms of innovation activities that may affect the knowledge and resources of young firms used to improve innovation performance. Knowing this can help young firms to choose effective innovation mode.

This study makes three contributions. The first is to pay specific attention to the neglected topic of the influence of STI and DUI innovation modes on innovation performance of young firms. Understanding that the two innovation modes offer different methods of gaining knowledge and resources can help young firms choose an effective innovation mode for their business; Second, the author examines the boundary conditions of the effectiveness of innovation modes. Specially, the author examines the moderating role of external networks, which can help clarify conflicting results in this regard. 10;The third contribution is to investigate the importance of network relationships for innovation activities moving beyond the extent of network relationships to instead consider the ability of those relationships to expose a firm to innovative techniques and methods.

The purpose of this paper is to examine the interaction of enforcement and adjudication for general deterrence of drunk-driving. The authors present a triangular feedback model between three domains: police, courts and drunk-driving events. The authors’ deductive approach imposes no structural assumptions beyond the core of general deterrence theory.

Using a largely untapped data set for California’s 58 counties from 1990 to 2010, the authors estimate a series of heterogeneous panel Granger non-causality tests. This empirically based evidence is re-organized per the proposed triangular feedback model to objectively categorize local criminal justice systems as active, responsive or reactive (with respect to drunk-driving).

Our results suggest that state-level analyses obscure useful variations that empirical panel methods can now handle. The authors provide evidence that research based on empirically derived groupings, rather than inductively based preconceptions, is key to understanding enforcement and compliance. The authors provide a less confounded picture of the relationship between drunk-driving enforcement and adjudication.

Our study addresses one offense for a particular state in the USA. It is an exploratory analysis. This analytical and empirical approach is new.

Our approach imposes very few a priori assumptions and requires a minimum of data series to be executed. The method can be broadly applied to a range of topics and observational units.

The authors aim to expand identification of local systems’ effectiveness (or not) and mechanisms of for general deterrence of drunk-driving. The offense is one that can be committed easily and unintentionally; it does not presume anomie. The authors address general communities, not anomalies. Knowing how enforcement and compliance operate is essential to an array of behavioral externalities.

This is a new empirically based approach for analyzing social systems. It is a marriage of new macroeconomic time-series techniques with an old question, most often addressed by microeconomic research. This study uses an underutilized data source to construct a unique panel data set.

The purpose of this paper is to examine the doing, using, and interacting (DUI) of Universities of Applied Sciences (UAS) while developing intra- and inter-collaboration with industry. It also reviews recent literature related to the roles of absorptive capacity (AC) and social capital (SC) in interaction.

A qualitative case research on developing collaborations between UAS and small- and medium-sized enterprises for innovation activities.

Prior knowledge and contacts vary in organisations, and interaction should be supported while aiming to maximise benefits of internal and external resources available for innovation. This paper contributes by pointing out the importance of the interconnection of DUI, AC, and SC while developing collaboration.

This paper describes issues challenging the collaborative innovation activities and directions to focus on structural development to support interaction with parties having different backgrounds, goals, and strengths. The study highlights the importance of knowledge exchange with several universities and firms, and the different learning modes related to innovation.

The literature stresses the importance of collaboration patterns and the role of public funding in regional competitiveness. This study aims to contribute to a better understanding of this subject by focusing on two key dynamics of technological cooperation. First, the authors focus on the ability of public funding to support regional technological demand through the promotion of science and technology-based innovation (STI) and innovation based on learning-by-doing, learning-by-using, learning-by-interacting (DUI) cooperation. Second, the authors investigate whether such cooperation patterns influence the companies’ ability to support the development of novel products through the effective transfer of knowledge.

The data used in this longitudinal study are taken from the Basque statistics agency’s (EUSTAT) technological innovation survey, which compiles activities, personnel, funding sources, support institutions and other innovation-related aspects of businesses in the Basque region. The survey was carried out following the methodology of the community innovation survey (CIS). CIS data are used to generate official innovation statistics for the EU and its member countries and have been used extensively for analysis in economics. The sample included an unbalanced panel of 17,431 companies that reported research and development expenditure for the period 2013‐2017.

The results of the analysis confirm that the relationship between STI cooperation and regional funding is positive (Piñeiro-Antelo and Lois-González, 2019), but regional DUI cooperation will have a greater impact than STI cooperation on a company’s ability to generate novel products. The authors can, therefore, say that public funding is successful at supporting cooperation between science and technology agents and firms but fails to promote the transfer of knowledge and subsequent development of novel products in companies in the region.

Following a quadruple helix approach, it is important to underline the need for public policies to strengthen the connections between all the key agents in the ecosystem (where the research community, industry, public sector and citizens are all active actors), promoting technology transfer and dissemination, as well as trust among the parties, absorptive capacity and business access to resources and financing. Thus, the design of public policies should be oriented to support a firm’s innovation, balancing the exploration and exploitation of STI and DUI regional cooperation.

The contribution of this research is threefold. First, it serves to emphasize the importance of the impact of regional innovation systems on business innovation modes and their performance. Second, it takes the study of innovation systems and their impact on companies a step further by examining the impact of public funding on the companies’ ability to explore and exploit regional innovation modes. Thirdly, the authors offer a dynamic view of the region’s ability to support its own demand for technology and study the impact of regional business modes on the firms’ ability to support novel products.

The purpose of this study was to fill the gap in understanding the impact of Drug Recognition Expert (DRE) evidence and testimony in driving under the influence (DUI) trials. This was accomplished by documenting and analyzing the perceptions of DREs and the DRE program across different stakeholders to understand how and when this type of evidence is used in DUI trials.

The methodology is a qualitative case study of the DRE program in one police agency in Washington. Data were collected using semi-structured interviews with criminal justice actors and state-level experts on their perceptions of the DRE program for the agency. Themes were developed from these interviews to analyze their perceptions of the efficacy and utility of DREs in trials.

While the courts in Washington accept DRE evidence in criminal trials, DRE evidence is largely absent in the adjudication process. Participants noted multiple reasons for this, including the lack of trials, the primacy of blood evidence and the expansion of the Advanced Roadside Impaired Driving Enforcement (ARIDE) program.

Although the DRE program has been around for decades, there is a lack of peer-reviewed studies regarding DRE evidence, and no studies regarding how court actors perceive and use DRE evidence. Understanding when and how DRE evidence is utilized in DUI trials can increase its value and utility by prosecutors and the national DRE program.

This paper presents a cheap and easy‐to‐produce microprehensile microrobot on chip (MMOC). This four‐degree‐of‐freedom (DOFs) microprehensor is able to grip, hold and release submillimetric‐sized objects. The research conducted relied heavily on the design of a simple and efficient monolithic piezoelectric two‐DOF actuator, requiring no further motion transformation system and asking for no supplementary guiding system. The integration of all these functions in a single part eliminates nearly all assembly concerns. Each finger of the gripper is an actuator, called a duo‐bimorph, which provides higher deflections than piezoelectric tubes. The paper presents the developed MMOC prototype, comments its performances and details the functioning of the duo‐bimorph.