Organizational innovation and structure

The relationship between organizational innovation and structure in 31 manufacturing organizations in a developing country is examined. The analysis indicates three findings: (1) multi-item scales developed in the U.S. are, with some revisions, reliable in a developing context; (2) the relationships established between organizational innovation and structural variables in the advanced context are generally supported in a developing context; that is, organizational innovation is positively related to professional training, professional activity, integration, and inversely related to job codification and hierarchy of authority; and (3) the relationships generally hold regardless of size and age of the organizations.     

A causal analysis of the role of institutions and organizational proficiencies on the innovation capability of Chinese SMEs

We attempt to advance the existing narrative about the role of local institutions vis-à-vis the organizational capabilities of Chinese SMEs, and the influence of such linkages on the innovation capability of these firms. Specifically, we complement recent work by investigating the impact of macro- as well as micro-level aspects of Chinese institutions (Government support; Guanxi) on the ‘Improvisation’ and ‘Learning’ capabilities of Chinese SMEs and, ultimately, these firms’ innovation capability. Our conceptual arguments are embedded in Institutional, Organizational learning, and Resource-based theories. We isolate, unpack, and discuss several inter-related, yet distinct, causal mechanisms that ultimately influence Chinese SMEs’ innovation capability development. Based on a Partial Least Squares analysis of more than 200 firms, we find empirical support for all six hypotheses which represent the above-mentioned relationships. Our findings offer insights pertaining to: (1) the relative impact of institutional versus firm-specific factors in developing organizational proficiencies, (2) the mapping of macro- and micro-level institutional effects on organizational proficiencies, and (3) the relative effect of organizational proficiencies on innovation performance.     

市场导向、组织学习创新及组织绩效:基于珠江三角洲企业的实证研究

The purpose of this paper is to examine the relationships among market orientation, learning orientation, organizational innovation and organizational performance through a structural equation modeling approach. This study uses a sample of 143 companies in the Pearl River Delta region of China. Results show that (1) market orientation has no positive direct impact on organizational performance; (2) market orientation has a direct impact on learning orientation; (3) learning orientation has a direct impact on administrative and technical innovation; (4) market orientation has a direct impact on organizational innovation by learning orientation; (5) administrative innovation has a positive direct impact on organizational performance while technical innovation does not impact on organizational performance directly; (6) technical innovation has a positive impact on administrative innovation; (7) learning orientation has an indirect impact on organizational performance through influencing organizational innovation; (8) market orientation has impact on learning orientation, which has an impact on organizational innovation, which in turn has an impact on organizational performance. Managerial implications are discussed, along with suggestions for further research. Translated from Guanli Shijie 管理世界 (Management World), 2006, (2): 80–94, 143     

Organizational characteristics and the CRM adoption process

The purpose of this study is to identify the status of Customer Relationship Management (CRM) adoption and explore the influence of organizational characteristics on the CRM adoption process in the Korean fashion industry. Using Rogers' [Rogers EM. Diffusion of innovation. New York: Free Press; 1995] innovation decision process model as the conceptual basis, this study surveyed 94 Korean fashion companies to investigate the persuasion, decision, and implementation stages of CRM adoption. Organizational variables included firm characteristics (size, strategy, maturity of information system), product characteristics (category, fashion position, seasonality), and CEO characteristics (age, education). The most frequently used CRM technology is the development of a customer database, whereas the mostly frequently mentioned benefits of CRM are encouraging repurchase. Moreover, respondents' perceptions of CRM benefits affect CRM adoption, influencing the use of various CRM technologies. Organizational strategy, maturity of information system, and product category all significantly influence the adoption process. Empirical findings provide further support for the innovation decision process model developed by Rogers [Rogers EM. Diffusion of innovation. New York: Free Press; 1995] and the CRM adoption model can be used when fashion companies do strategic planning and evaluate the possibility of adopting CRM strategies.     

Dividend decisions and the structure of the life insurance industry

The behavior of life insurance company dividend decision-making is modeled for both stock and mutual companies. Insurer payout behavior, regardless of organizational form, follows a “savings” pattern which buffers the dividend stream from short-run variability. Thus total payouts to policyholders and/or stockholders reflect long-term results rather than annual experience. Variables important in explaining annual changes in dividend levels are related to the organizational structure of the insurer. Whereas mutual companies primarily relate the change in payout to volume, stock companies' payout differentials are primarily a function of earnings. The study also examines the relative importance of policy reserves, contingency reserves, and surplus in dividend decisions.     

A Conceptual Framework for the Design of Geo-Collaborative Systems

Geo-collaborative systems address the computational support to situations where people are working in different locations, gathering geographically-related data in the field and sharing knowledge. We propose a conceptual framework identifying the design issues that fundamentally set the stage for eliciting the requirements of geo-collaborative systems. The conceptual framework has five elements: places, teams, tasks, artifacts and geo-referenced knowledge. We also highlight two important relationships between some of these elements: (1) a task-artifact relationship, related with the need to increase the organizational decision making abilities through concerted efforts; and (2) an artifact-knowledge relationship, related with the need to support mechanisms for jointly understanding geo-referenced data. The conceptual framework was applied to the development of a groupware tool aiming to increase the productivity of the geological mapping process followed by a national agency with competence in this area. The paper describes in detail how the conceptual framework influenced the groupware design. The obtained results indicate that the framework can focus the designers on the human aspects of geo-collaboration and guide them through the initial design stages.     

Organizational culture,innovation, and performance: A test of Schein's model

Innovation is the key to organizational survival and therefore the study of processes that support innovation should be of interest to researchers and practitioners alike. Schein's multi-layered model of organizational culture offers a useful framework for thinking about processes that foster innovation. A defining characteristic of the model is the subtle but important distinctions between the varied “layers” of organizational culture (i.e., values and norms, artifacts and behaviors). The basic assumption of this study is that Schein's model offers a tractable explanation of cultural processes that support organizational innovation, especially in service firms. Despite the intuitive appeal and practical value of Schein's conceptual framework, empirical research in relation to the model is limited. This paper develops a rationale for an empirical model based on Schein's conceptual model; the study reports a test of an empirical model. Data collected from approximately 100 principals of law firms provides a suitable empirical context for a test of the model. The findings generally support the hypothesized relationships. A key result is how layers of organizational culture, particularly norms, artifacts, and innovative behaviors, partially mediate the effects of values that support innovation on measures of firm performance. The findings have implications for theory and practice, especially in relation to building an organizational culture within professional service firms that fosters innovative behavior.     

How personal and organizational drivers impact on SME international performance: The mediating role of organizational innovation

This article develops and tests a conceptual model to identify the impact of internal drivers (personal and organizational) on the international performance of small and medium-sized enterprises (SMEs). Drawing on the resource-based view of the firm and its capability extensions, it is argued that the effect of drivers is mediated by organizational innovation. To test the proposed theoretical model, we collected data from 120 exporting SMEs in Portugal. Results show that the indirect mediating effect of innovation is particularly relevant with regard to the organizational driver-performance link. Insights contribute to research on the importance of innovation for capability and resource deployment during internationalization.     

The exemplar enigma: New venture image formation in an emergent organizational category

We examine the process of organizational image formation for new ventures entering an emerging organizational category. An emerging organizational category is usually initiated by a pioneering venture that adopts a new organizational form. If that venture garners early recognition, it serves as an exemplar, attracting other ventures to enter the emerging category. Those ventures then have to formulate an image that both accounts for and competes with that of the category exemplar. This article describes how ventures form their images in the face of this tension. We examine this tension using qualitative data from eight new U.S. venture accelerators entering the emergent venture accelerator category, which revealed that image formation in an emerging organizational category involves three basic considerations: (1) emulation, (2) experimentation, and (3) divergence. Through emulation, organizations observe and rely on the exemplar in order to capture legitimacy. Through experimentation, organizations consider who they are beyond the exemplar and how they might change. Through divergence, organizations definitively claim and establish a unique image. From this, a conceptual framework is proposed in which organizational and contextual factors influence image formation actions and decisions.     

Choose wisely: Crowdfunding through the stages of the startup life cycle

Crowdfunding is attractive to startups as an alternative funding source and offers nonmonetary resources through organizational learning. It encompasses the outsourcing of an organizational function, through IT, to a strategically defined network of actors (i.e., the crowd) in the form of an open call—specifically, requesting monetary contributions toward a commercial or social business goal. Nonetheless, many startups are hesitant to consider crowdfunding because little guidance exists on how the various types of crowdfunding add value in different life cycle stages and which type is best suited for which stage. In response to this gap, this article introduces a typology of crowdfunding, the benefits it offers, and how specific benefits relate to the identified crowdfunding types. On this basis, we present a framework for choosing the right crowdfunding type for each stage in the startup life cycle, in addition to providing practical advice on crowdfunding best practices. The best practices outlined have shown demonstrable contributions toward achieving funding goals and are likely to prove valuable for startups.     

The multi-organizational interaction approach to industrial marketing

A conceptual approach is presented for investigating interaction processes in industrial marketing.The interaction process is interpreted as a multi-organizational phenomenon which is characterized by indegenous episode variables and contextual factors. Empirical results using this interaction approach are discussed, and the importance of analyzing the influence of relative organizational attributes (relative to each organization involved in the interaction process) on the results of an industrial marketing transaction is stressed.     

复杂组织目标体系的构成与权重：理论分析和实证检验

文章结合复杂组织和内外部环境特征，通过理论分析和实证检验，构建了以持续发展为导向的复杂组织目标体系的五维度模型，并在此基础上运用GANP法确定了各级目标的权重。研究结果发现：以持续发展为导向的复杂组织目标体系分为表达性目标和应对性目标，前者包含盈利性、创新性和福利性目标，后者包含合作性和合法性目标；五个主维度目标相互联系、相互影响，体现了复杂组织持续发展所需的物质基础、智力基础和内外部关系基础。研究还发现：以内部导向为主的表达性目标和以外部导向为主的应对性目标对复杂组织持续发展的重要作用几乎相同；主维度目标的核心子目标分别是净利润、技术创新、员工效用、组织声誉和组织合法性，不断地发现和创造新需求、创新技术、积累人力资本、提高组织声誉和获得组织合规合法性是复杂组织持续发展的动力源泉。文章解决了复杂组织目标模糊、难以量化和价值错配等问题，为复杂条件下的组织战略管理从理论和实践两方面提供了新的思路和借鉴。     

Sources of knowledge and process innovation: The moderating role of perceived competitive intensity

Global competition means that firms are under pressure to systematically develop the efficiency of their manufacturing processes. However, little has been said in the international business literature about how firms, especially those subject to severe barriers, can search for knowledge within and across national boundaries to help in the development of process innovation. We build on key aspects of the innovation and search strategy literature to develop our conceptual model and hypotheses, which we test in the context of a less-developed, isolated, and closed economy, using data from 171 automotive component suppliers in Iran. We find that foreign knowledge search is positively related to process innovation, even in an economy that operates under severe economic sanctions. This contributes to the international business field by providing evidence that, while economic sanctions are increasingly used in modern geopolitics by the world’s most powerful countries, these actions may fail to achieve their goals with respect to individual businesses.     

高管危机警觉性是如何影响组织创新的？一个双中介模型

文章基于信息加工理论以及“信息→认知→行动”框架，探索并验证了高管危机警觉性与组织二元创新策略间（渐进式创新和突变式创新）的内在机制与路径模型，即组织响应和组织自省的双中介效应。本研究基于218家企业调研数据，所采用的层次回归、结构方程建模和Bootstrapping等方法的检验结果显示，高管危机警觉性正向影响组织渐进式创新和突变式创新；高管危机警觉性通过组织响应影响渐进式创新，通过组织自省影响突变式创新。研究结论为企业在危机下实现绿色创新与可持续发展提供理论与实践启示。     

Marketing management,its environment,and information processing: a problem of organizational design

The marketing literature has overlooked the problem of designing optimal organizational structures for marketing management. The study of this problem is crucial and pressing. Some relationships are proposed between the information generated by the market environment and the ability of the organization of a marketing department to process this information. Insights and opportunities for future conceptual and empirical work are provided.     

Knowledge management,relational learning,and the effectiveness of innovation outcomes

This paper proposes a conceptual model to test the moderating effect of relational learning on the link between knowledge strategies and innovation. To accomplish this, this study is carried out on healthcare organizations. It has been generally accepted that both explicit and tacit knowledge play a basic role in organizational innovation. However, although there are plenty of research works that study the existing relationship between knowledge management (KM) and the effectiveness of the innovation process, there are certain peculiarities with regard to this link, which have yielded some inconclusive results. This paper revisits this research topic with data on KM, relational learning and innovation outcomes from a sample of Spanish hospitals. The results show that a deep and broad knowledge base leads to better innovation outcomes. In addition, this study found that hospitals and/or units that invest and involve themselves in relational learning mechanisms are more likely to foster innovations.     

The Diffusion of a Process Innovation with Gently Declining Production Cost

This paper develops a model to investigate the diffusion process of a cost-reducing process innovation within an industry. Two factors drive the diffusion process. First, the gradually declining production cost with the innovation makes the adoption of the innovation more profitable, and consequently motivates more firms to adopt it over time. Second, the switching from old technology to new technology requires suitable organizational knowledge, which is costly to acquire. This tends to slow down the diffusion. The interaction between the two factors determines the path and the speed of the diffusion process. The model is able to explain three observations in technology diffusion, including (1) the S-shaped diffusion path; (2) the rejection of an innovation by some firms; and (3) unprofitable technology adoption. A policy implication of the model is that, through subsidizing the transfer of relevant knowledge from adopters to non-adopters, government can facilitate the diffusion of innovations and improve social welfare.     

A venture capital model of the development process for new ventures

For years, researchers have hypothesized that new ventures develop in a fairly predictable chronological process by evolving through various functional and strategic developmental stages. However, cross-comparable longitudinal data from large numbers of ventures are still not available to validate these “stages of development” hypotheses. The study sought to determine whether venture capital firms, which have extensive experience with the longitudinal development of new ventures, operate in accord with a common theory about how this process operates. These findings also represent a first step toward empirically validating various elements of “stages of development” theories.The study analyzed the perceptions of the CEO or managing partner of 73 U.S. venture capital firms about key features of the development process for new businesses. Venture capital firms were asked whether they differentiated stages in the development process. For each such stage information was elicited on what the stage was called, distinguishing characteristics of ventures in that stage, key developmental goals or benchmarks typically accomplished in that stage, and the major risks involved. Sufficient consensus was found on these aspects of the development process for a “venture capital model” of this process to be constructed. The model consists of five sequential stages: 1) “seed” ; 2) “start-up” ; 3) “second stage” ; 4) “third stage” ; and 5) “exit stage.” Strong consensus was found on distinguishing characteristics of ventures in early stages of development, key developmental goals or benchmarks in various stages, and major developmental risks associated with each stage. Consensus on developmental characteristics diminished somewhat in later stages, presumably because of differential rates of development among investees, as well as differing degrees of success in accomplishing earlier objectives. Nevertheless, sufficient differences in functional characteristics remained to clearly distinguish later stage investees from early stage investees, and to enable differentiations in maturity between “third stage” and “exit stage” investees.The venture capital developmental model exhibits both similarities and differences from “stages of development” paradigms. First, the venture capital model is primarily strategic and market-oriented in focus. It gives lesser emphasis to the elements of organizational structure, management style, and management specialization than some “stages of development” theories, although these elements are identified by venture capitalists as potential areas of risk should problems arise. Second, like “stages of development” paradigms, the venture capital model is universal and not venture specific. Venture capital firms appear to view all potentially feasible business concepts, despite differences in product, organizational complexity, rate of development, or ultimate size, as passing through the same process sequence, albeit at different speeds and with varying degrees of success. Third, the model, while reflecting the financial objectives of venture capital investors, is primarily shaped by the naturally occurring functional development of investees. It does not represent arbitrary requirements imposed on investees to segment the developmental process into steps that would not otherwise occur.The development of venture capital investees is influenced by the strategic and financial objectives of venture capital firms. Thus the model does not necessarily mirror the strategic and dynamic elements of the development process for firms that are not intended by their founders to grow rapidly and then go public or be acquired by a larger corporation, or for ventures that must depend upon internally generated funds or bank loans to finance development.The venture capital model, representing perceptions of 73 venture capital firms derived from longitudinal data for many hundreds of new ventures, appears to empirically confirm the concept of an evolutionary progression through key functional and strategic steps, which is a central element of most “stages-of-development” hypotheses. The study did not go into sufficient depth, however, to provide detail on the influence of factors such as organizational structure and management styles and control systems on development. These factors are central elements in several “stages of development” theories, and are arguably of critical importance in the growth, survival, and financial success of new ventures.     

A Framework for a Dynamic Organizational Memory Information System

Organizational memory information systems (OMIS) implement important aspects of organizational memory with the aim of enhancing organizational effectiveness. We propose a 3-layered framework for a dynamic OMIS. The framework consists of a pragmatic layer to support the actual activity, a conceptual layer to store the concepts inherent in that activity, and a process layer to store the experience of performing that activity. Both the conceptual and process layers represent organizational memory repositories in the form of respective models. The implementation of OMIS assumes that any activity is the instantiation of relevant conceptual and process models and includes the reuse of knowledge stored in association with those models. In this way, organizational memory is always mapped to current activity, and its adequacy is constantly evaluated. This provides the potential for the models to evolve as a direct result of the current activity. A partial implementation of this framework to support epidemiological research is illustrated.     

Assessing business value of Big Data Analytics in European firms

In the strategic management field, dynamic capabilities (DC) such as organizational agility are considered to be paramount in the search for competitive advantage. Recent research claims that IT business value research needs a more dynamic perspective. In particular, the Big Data Analytics (BDA) value chain remains unexplored. To assess BDA value, a conceptual model is proposed based on a knowledge-based view and DC theories. To empirically test this model, the study addresses a survey to a wide range of 500 European firms and their IT and business executives. Results show that BDA can provide business value to several stages of the value chain. BDA can create organizational agility through knowledge management and its impact on process and competitive advantage. Also, this paper demonstrates that agility can partially mediate the effect between knowledge assets and performance (process level and competitive advantage). The model explains 77.8% of the variation in competitive advantage. The current paper also presents theoretical and practical implications of this study, and the study's limitations.