Organizational context, climate and innovativeness: adoption of imaging technology

Managers make decisions to adopt technological innovations within an organizational context. This research explores the role of organizational climate as it affects the impacts of organizational context on innovativeness. Context refers here to organizational size, slack resources, and organizational age. We analyze three known climate dimensions as moderator variables: risk orientation, external orientation, and achievement orientation. Data describe the adoption of medical imaging technologies by 70 hospitals. Climate measures come from several technology decision-makers within each organization. Technology measures of radicalness and relative advantage are ratings by five outside experts in the use of these 68 technologies. The study also includes the traditional measure that counts the overall number of innovations adopted. Innovativeness is a multi-dimensional composite variable composed of radicalness, relative advantage, and number of innovations adopted. As expected, results show that organizational size and slack are positively related with innovativeness. Hierarchical regression analyses indicate that the climate measures of risk orientation and external orientation interact significantly with the context dimensions of organizational size and organizational age. The model developed and tested in this project explains over 50% of the total variance in innovativeness.     

From technology race to technology marathon: A behavioral explanation of technology advancement

In industries characterized by continual progress from lower to higher generations of technology, firms seek to solidify their competitive position by deploying technologies more advanced than their current ones. This study attempts to provide behavioral explanations for the degree of technology advancement pursued by a firm. Using data from the flat panel display industry, we find that the extent of a firm's technology advancement is largely determined by how far it falls below the industry average. Our findings complement prior research on technology races by suggesting that firms in the thin-film-transistor liquid-crystal display (TFT-LCD) industry largely attempt to run a “marathon” rather than a sprint: the degree of technology advancement is mainly guided by a desire not to fall behind the pack as opposed to trying to move ahead of the pack in order to win the race. By the same token, firms exceeding the industry average in their technology reveal little motivation even to maintain their lead, much less extend it.     

Effects of the implementation of information technology on employees' strain and job satisfaction: a context-dependent approach

The effects on staff of the implementation of new office information technology were investigated in ten companies in Vienna using a longitudinal design. Strain and satisfaction of 331 employees (implementation sample: n = 212; control sample: n = 119) were measured at five points in time over a period of 22 months. The study is based on a context-dependent approach. Personal factors (individual differences, external load) were assessed by questionnaires, and situational factors (job design, implementation content and implementation context) by objective measures. The impact of these factors on employees' strain responses was tested using structural equation modelling (SEM). While the implementation of new technology as such made no significant contribution to the explanation of strain variables, a reasonable model fit was achieved when implementation characteristics were taken into account. The data suggest that negative effects of implementations must be expected if (1) adaptational demands do not include the enhancement of employee qualifications, (2) character-based user interfaces are not replaced, and (3) employees have few or no opportunities to participate in the implementation process.     

一种新的金融动态横截面估计方法——基于中国股票市场条件定价模型评估的应用与扩展

大多数资产定价模型常常用静态横截面回归(the static cross-sectional regression)进行定价表现评估,从而投资组合回报率的时间变化性并不能被时变的风险承载或者(和)时变的风险溢价所解释.本文从经济学的角度,运用一种新的金融动态横截面回归(the dynamic cross-sectional regression),首次考察了基于中国股票市场和美国股票市场的条件资产定价模型的定价表现:股票市场投资组合回报率的时变性是否能被时变的风险溢价所解释.本文发现,短期收益反转和流通市值加权市场换手率为条件变量的条件资本资产定价模型和基于消费的条件资本资产定价模型,能更好的解释中国股票投资组合的回报时变性,其时变性主要来自于时变的风险溢价.另外,本文发现一些拥有持续(persistence)和缓慢变化(slow-moving)特性的条件变量更能够解释横截面投资组合的时变回报.     

A process model of establishing knowledge management: Insights from a longitudinal field study

This paper contributes to the discussion on how to manage knowledge in organizations. Taking a perspective which acknowledges the importance of, but does not privilege, IT as the decisive element, it reports the results of a study investigating the process of establishing as opposed to conducting knowledge management. Based on a grounded theory approach to the analysis of the empirical data, a model of establishing knowledge management in organizations is developed. The model emphasizes how the organizational members make sense of the action and behavior of management, and how this understanding influences their own perceptions and actions in the process of establishing knowledge management. This leads to an understanding of knowledge management as an autonomous venturing process. The model is then used to suggest an explanation of why establishing knowledge management was not successful in the case which was investigated. Conclusions are provided on how the model can be further exploited for studying and improving the practice of knowledge management.     

The importance of context specificity in work stress research: A test of the Demand-Control-Support model in academics

Abstract

The Demand-Control (D-C) (Karasek, 1979) and the Demand-Control-Support (D-C-S) (Johnson & Hall, 1988; Johnson, Hall, & Theorell, 1989; Karasek & Theorell, 1990) models of work stress suggest that jobs with high demands and low control (and low support) are stressful. In line with the support in the literature for context-specificity in occupational stress research (Sparks & Cooper, 1999) and the limited and even contradictory support for interaction effects, the main aim of the present study was to examine how the D-C-S model applied in a well-defined occupational group. Using hierarchical regression analyses, and controlling for negative affect, the D-C-S model accounted for 26%, 6%, and 8% of the variance in job satisfaction, psychological distress and burnout, respectively, among 166 academics in a UK university. No two-way or three-way interactive effects were evident, but additive effects of job demands and control on psychological well-being and of job demands and support on both burnout and job satisfaction were shown, corroborating research showing that high job strain is linked to ill health and job dissatisfaction in this homogenous occupational sample. It is recommended that, in future, research includes more variables that are specific to a particular occupation.     

The importance of context specificity in work stress research: A test of the Demand-Control-Support model in academics

The Demand-Control (D-C) (Karasek, 1979) and the Demand-Control-Support (D-C-S) (Johnson & Hall, 1988; Johnson, Hall, & Theorell, 1989; Karasek & Theorell, 1990) models of work stress suggest that jobs with high demands and low control (and low support) are stressful. In line with the support in the literature for context-specificity in occupational stress research (Sparks & Cooper, 1999) and the limited and even contradictory support for interaction effects, the main aim of the present study was to examine how the D-C-S model applied in a well-defined occupational group. Using hierarchical regression analyses, and controlling for negative affect, the D-C-S model accounted for 26%, 6%, and 8% of the variance in job satisfaction, psychological distress and burnout, respectively, among 166 academics in a UK university. No two-way or three-way interactive effects were evident, but additive effects of job demands and control on psychological well-being and of job demands and support on both burnout and job satisfaction were shown, corroborating research showing that high job strain is linked to ill health and job dissatisfaction in this homogenous occupational sample. It is recommended that, in future, research includes more variables that are specific to a particular occupation.     

一类序贯决策方法的提出:透镜与直觉模糊信息的视角

与大多数关注经典秘书问题的序贯决策研究不同,本文针对决策对象不变而其状态更新的一类序贯决策问题,提供决策方法。相较已有研究而言,本文从透镜与直觉模糊信息的视角提出这类序贯决策的一般方法,更加具有普适性,可应用于应急管理、风险投资等多个方向。该决策方法具有如下特点：1）借鉴透镜模型,通过当期可观测的线索,预测这类序贯决策问题的下一期状态;2）考虑到决策环境具有不确定性,采用直觉模糊数对决策者获取的信息线索进行刻画;3）为最大化模拟现实决策者,在前景理论框架下提出状态更新的序贯决策方法。本文提出的决策方法依据在于决策者对决策对象的预测"前景"值和预测绩效,基于此提出了具体的决策步骤,并辅以案例进行分析。通过对不同决策情形下决策结果的比较分析和对案例的稳健性检验,验证了该决策方法的适用性和有效性。     

A novel approach to regression analysis for the classification of quality attributes in the Kano model: an empirical test in the food and beverage industry

Since its introduction in the 1980s, Kano's two-dimensional model has become one of the most popular models with which to evaluate quality, finding a place in a wide range of industries. For decades, various approaches to regression analysis have been applied to explore asymmetric and non-linear relationships in the Kano model. Although a number of authors have questioned the use of these regression methods, there has been a lack of validity testing to evaluate their convergence with the results of the Kano questionnaire in classifying quality attributes. This study proposes a novel approach to regression analysis for the classification of quality attributes, including must-be, one-dimensional, attractive, and indifferent categories, as well as mixed-class distribution. Using popular tools and techniques for the measurement of customer satisfaction, the proposed approach is capable of simplifying the process of collecting data making it far easier to implement than the list of functional and dysfunctional questions initiated by Kano. An empirical study of a food and beverage chain showed that the proposed approach is capable of returning acceptable classification results, compared to the Kano questionnaire. A validity test indicated that the proposed approach significantly outperformed dummy variable regression and the moderated regression. In conclusion, the proposed approach provides a more practical implementation, while maintaining classification power on par with the Kano questionnaire.     

Exponential random graph models for management research: A case study of executive recruitment

We introduce a recent development in the statistical analysis of relational data that offers rigorous discrimination of a variety of structural and behavioural effects of interest to management research. Exponential random graph models account for the highly interdependent nature of network data that are problematic for the predominant inferential statistical analysis used in management research. We illustrate the value of the approach with an application focused on executive recruitment by large UK firms, modelling migrations of managers among firms as a network of relationships. We find rigorous statistical support for the influences of industry origin in executive recruitment, particularly in relation to legal and accounting activities. The flexibility and sophisticated relational variables available in the models offer considerable analytical power of value to a wide range of management applications.     

中国设计产业与工业的互动关系研究——基于独立设计机构专利数据的相关前沿理论验证

以中国独立设计机构的授权专利为研究对象,通过中国专利数据检索,对中国设计机构专利授权数量时间序列进行统计和预测,结合工业增加值数据,运用相关分析、协整检验和格兰杰因果检验等计量方法,初步验证Porter钻石模型的服务需求理论和Grossman的设计驱动的内生增长理论在中国的适用性.研究结果表明,1985年至2009年中国独立设计机构专利迅速增长,Porter钻石模型的服务需求理论在中国得到部分支持,但Grossman的设计驱动的内生增长理论在中国没有得到证实,设计产业还不是驱动工业增长的力量.     

The Effect of Perceived Novelty on the Adoption of Information Technology Innovations: A Risk/Reward Perspective

A fundamental characteristic of any innovation is its novelty, the newness or freshness of the innovation in the eyes of the adopter. Past research has often considered novelty to be inherent to an information technology (IT) innovation, yet it is also likely that perceptions of novelty differ widely across individuals. Nevertheless, the role that the novelty of an IT innovation plays in adoption is not well understood. The primary goal of this research effort is to frame the perceived novelty of an IT innovation as a salient affective belief in the nomological network related to adoption. Further, we examine how perceived novelty influences the way individuals reconcile their perceptions of risk versus reward when considering the adoption of an IT innovation. Two empirical studies with 424 and 138 participants, respectively, examine the effect of perceived novelty on IT innovations from a risk/reward perspective. Results indicate that perceived novelty is a salient affective belief that plays a significant role in the adoption of IT innovations. Implications for both theory and organizational decision making are examined.