An institutional analysis of supply chain innovations in global marketing channels

The adoption of sophisticated supply chain innovations by trading partners in global channels of distribution is often limited by the institutional context of the international transaction. In particular, the regulatory, normative, and cultural-cognitive elements of institutional environments around the world can enhance or inhibit the ability of trading partners to craft the contractual, ownership, and social elements of institutional arrangements required by an innovation. Because supply chain innovations often require costly, new investments and activity sets, firms may be reluctant to participate in an innovation unless a new institutional arrangement can be crafted to provide adequate safeguards and guarantees. A conceptual model is developed to explain the role of institutions in the successful deployment of supply chain innovations in global marketing channels.     

政府补贴能否促进高新技术企业的自主创新？——来自中关村的证据

中国政府对高新技术企业投入了大量补贴以激励它们创新,但是对补贴效果的研究并未达成一致结论。基于中关村3万多个高新技术企业2001-2012年的观察值,本文同时采用PSM与DID法对政府补贴的效果进行了研究,结果发现:第一,整体而言,政府补贴显著提高了创新经费支出、新产品销售收入和专利申请数量;第二,进一步将创新细分为自主创新和购买引进新技术之后发现,政府补贴存在“挤出效应”:被补贴企业的自主创新明显下降,而购买引进新技术显著增加;第三,政府补贴对企业的短期创新激励有显著的促进作用,但是对长期创新激励的促进作用不显著。本文对高新技术企业的补贴效果提供了实证绩效评估,所得出的结论有助于政府优化和调整激励创新政策。     

Innovation performance and the role of clustering at the local enterprise level: a fuzzy-set qualitative comparative analysis approach

ABSTRACT

This study, utilizes an innovative methodological approach, fuzzy-set Qualitative Comparative Analysis (fsQCA), investigating the drivers of heterogeneous geographies characterizing English Local Economic Partnerships (LEPs). The fsQCA technique offers a novel configurational alternative to regression-based approaches investigating the effects of clustering in conjunction with firm-level innovation, university third-sector activity (TSA) and entrepreneurship, on LEPs innovation performance. The findings, offer contributions to the theories of industrial clusters and innovation, regional innovation systems, knowledge spillovers and entrepreneurial university innovation within LEPs. First, supporting fsQCAs, no individual variable generates either a positive/negative innovation outcome. Second, while all positive innovation recipes include presence of the cluster variable, for negative innovation recipes, only one does not identify absence of clustering as relevant. Given that the cluster variable does not appear in any recipes without at least one of the other variables suggests activity concentration does not exist in isolation to generate innovation outcomes without other localized conditions existing, e.g. firm-level innovation. Third, there is evidence for the non-cluster-based aspects of knowledge spillover theory of entrepreneurship with respect to university activity and the entrepreneurial university concept. Instead, roles of entrepreneurship and university TSA, while important, appear to be more peripheral and geographically context specific.     

Innovation in start-ups: Ideas filling the void or ideas devoid of resources and capabilities?

We investigate how access to different types of resources affects the success of entrepreneurial start-up firms at early stages of development in small isolated economies by studying 12 start-ups based in New Zealand. We find that successful commercialization of innovations depends on the availability of complementary assets, and that capability-based resources, especially dynamic capabilities, have a greater impact on competitive advantage of start-ups than other intangible and tangible assets. For the start-ups in our study, alliances with partners are particularly important, and so the ability to form alliances is a key capability. Successful start-ups leverage their available resources to attract alliance partners in order to access necessary complementary resources. The start-ups in our study clearly demonstrated the ability to attract partners locally but struggled to do so internationally, thereby limiting their growth potential.     

Independent directors and earnings management: The moderating effects of controlling shareholders and the divergence of cash-flow and control rights

The research results on the suppressing effect of independent directors on earnings management are not consistent in existing literature. In addition, it has been argued that using financial statements provided by top management to investigate top management's earnings management is not appropriate. Therefore, the purpose of this study is twofold. First, we used external auditors (including the auditors of Taiwan Stock Exchange Corporation and the auditors of two Big Four accounting firms – Deloitte & Touche and KPMG in Taiwan) as respondents in order to obtain less biased data. Second, we investigate the moderating effects of controlling shareholders and the divergence of cash-flow and control rights on the relationship between independent directors and earnings management. The results show that both the existence of controlling shareholders and the divergence of cash-flow and control rights have significant suppressing effects on the relationship between independent directors and earnings management. Theoretical and practical implications are also discussed.     

Is R&D spending influenced by disinvestment and local political corruption? The case of Indian central public sector enterprises

The current study examines the effect of disinvestment (dilution of state ownership) and local political corruption on R&D spending in enterprises owned by the central government of India. Based on certain characteristic features of innovation as a strategy available to state-owned enterprises, I build two sets of hypotheses formalising the channels of how these variables may affect the possibility and amount of R&D. Data is drawn from multiple sources to compile a dataset that covers all manufacturing central government-owned enterprises in India over a period of ten years from 2007 to 2016. The study employs an instrumental variable technique to reduce the endogeneity between disinvestment and R&D decisions. We find that, while disinvestment and local political corruption have strong negative effects on whether a firm invests in R&D or not, it has no effect on the amount of R&D. In fact, the amount is driven by a host of firm-specific factors such as size, profit and proficiency of the share of skilled labor, managerial strength and non-unionisation of labor. We also find that the effects are strongly driven by the size of firms, special status awarded to firms and the ideology of the state where the enterprise operates.     

Unpacking systemic innovation capacity as strategic ambidexterity: How projects dynamically configure capabilities for agricultural innovation

Problems in agriculture and land use are increasingly recognised as complex, uncertain, operating at multiple levels (field to global value chains) and involving social, economic, institutional, and technological change. This has implications for how projects navigate complexity to achieve impact. However, few studies have systematically evaluated how project actors engage with other actors to configure capabilities and resources across multiple levels in agricultural innovation systems (AIS), from the individual to the network, to mobilise and build systemic innovation capacity. An analytical framework conceptualising the nested configuration of capabilities at multiple levels in the AIS is applied to two projects that successfully tackled agricultural and land management problems of differing complexity: (i) improving lamb survival; and (ii) sustainable land management in New Zealand. Findings indicate that innovation capacity constitutes project actors interacting with other AIS actors to configure capabilities and resources at different levels of the AIS in order to leverage positive project path dependencies and break path dependencies that are created by existing and historical capability configurations. Project actors also balance exploiting existing innovation capabilities, as well as using adaptive capability for exploring and creating new capability configurations to respond to emerging circumstances. This implies that projects should have strategic ambidexterity in terms of how they combine exploiting existing and exploring new networks to access, combine, create, or disconnect certain capabilities to address ‘capability voids’ in AIS. This requires support to projects to constantly scrutinise, through reflexive monitoring by dedicated facilitators, specific agriculture and land use policies connected to major sustainable development models (e.g. climate smart agriculture, urban farming, smart farming). The can help assess whether the AIS provides the right mix of capabilities and whether this is adequately supported by innovation policy, to realize transformative policy objectives.     

Collaboration strategy decision-making using the Miles and Snow typology

Engaging in collaboration may be the best way for a firm to enhance its competitive advantages, since this can offer faster access to both resources and capabilities. This study aims to develop a framework for making collaboration partner choice decisions. The authors design a strategic game model of collaboration using Miles and Snow typology. An empirical data set collected from the S&P COMPUSTAT database is adopted to verify the model, and several managerial implications are derived. This model helps a company choose a competitor as a collaborative partner and helps in the selection of a collaboration strategy.     

Stage-gate process for life sciences and medical innovation investment

Life science innovation has led to significant improvements in clinical outcomes and has been a source of financial growth for individuals and institutions capable of performing appropriate investments in this sector. Several groups have developed methodologies to assist medical technology innovators in the design and development activities. Unfortunately, these tools have not aided the general investment community to profit from these enterprises. This situation has contributed to a general reduction in risk capital directed towards life sciences compared to other industries. We review the current investment practices in the life science sector and present a comprehensive stage-gate model that aims to captures this investment process. An analysis of best practices and in-depth interviews with 68 life sciences investors and entrepreneurs worldwide are used to support such model. A single case-control study comparing life science investment execution within two similar investment firms was conducted to evaluate feasibility in the implementation of these practices. The stage-gate model includes (I) General vision and investment strategy definition; (II) Venture search, screening and rapid pre-evaluation; (III) Due diligence and negotiation of terms; (IV) Portfolio management, evaluation, and exit. The difference in execution of investment and results from a post-performance Root Cause Analysis were consistent with a reduction in perceived risk from the case company trained with the proposed model compared to the control. This suggests that our developed model and process may be useful in encouraging life sciences investment via evidence-based evaluations.     

A SURVEY OF THE ECONOMICS OF PATENT SYSTEMS AND PROCEDURES

The last several decades have seen increases in patenting activity worldwide, as well as growing issues related to patent quality. In response to these quality issues a recent patent literature has emerged, that investigates the behavior and incentives of patent examiners, applicants, and third parties. In this paper, we provide an overview of patent procedures, patent systems and a survey of the new economic literature on patent systems. Both theoretical and empirical papers are considered. Policy implications coming from this literature are presented.