Innovation in Family Firms: A Systematic Literature Review and Guidance for Future Research

Through a systematic review of 118 peer‐reviewed journal articles published between 1961 and 2017, this article provides an integrative picture of the state of the art of the family firm innovation literature. Our aim is to widen existing understanding of innovation in family firms by building a theoretical bridge with studies in the mainstream innovation literature. Specifically, in identifying the main gaps in the literature and providing future research directions, our critical and dynamic picture of family‐specific determinants of innovation is intended to advance the debate on innovation in general, and family firms in particular.     

Understanding Cumulative Risk Perception from Judgments and Choices: An Application to Flood Risks

Catastrophic events, such as floods, earthquakes, hurricanes, and tsunamis, are rare, yet the cumulative risk of each event occurring at least once over an extended time period can be substantial. In this work, we assess the perception of cumulative flood risks, how those perceptions affect the choice of insurance, and whether perceptions and choices are influenced by cumulative risk information. We find that participants' cumulative risk judgments are well represented by a bimodal distribution, with a group that severely underestimates the risk and a group that moderately overestimates it. Individuals who underestimate cumulative risks make more risk‐seeking choices compared to those who overestimate cumulative risks. Providing explicit cumulative risk information for relevant time periods, as opposed to annual probabilities, is an inexpensive and effective way to improve both the perception of cumulative risk and the choices people make to protect against that risk.     

The Service Brand as Relationships Builder

This article examines the appropriateness of the notion and application of relationship marketing in various contexts. Theoretical and conceptual similarities between the broad notions of ‘the brand’ and of relationship marketing as risk reducers, simplifiers of choice and guarantee of quality are uncovered. We put forward a notion of relationship marketing as a further step in the branding process, whereby whenever perceived risk and consumer involvement are high, relationship marketing acts as a supplementary tool enabling consumers to maintain cognitive consistency and psychological comfort. Experts' opinions regarding branding in a service context expanded on these concepts. Especially for more intangible offerings, such as financial services, the experts stressed the use of corporate brand identity as the basis of relationship building both inside and outside the organization and as a means to achieve differentiation and provide the focus for homogeneous and consistent service delivery. Finally, we suggest the concept of the service brand as a holistic process beginning with the relationship between the firm and its staff and coming alive during the interactions between staff and customers.     

Legitimacy theory may explain the failure of global adoption of IFRS: the case of Europe and the U.S.

We investigate the reasons why “adoption” of one set of globally accepted accounting standards is presently unachievable. By “adoption” we mean that a jurisdiction incorporates IFRS instantly as its national accounting as issued by the IASB. We state that the IASB has used a Legitimacy Theory strategy to gain acceptance of its standards by more than 120 countries across the globe but it has only gained pseudo-“adoption” (not as published by the IASB) of its standards by many countries. We contend that achieving policing and enforcement of its standards globally has proven to be empirically illusive. This legitimacy deficit may explain why convergence between the IASB and FASB is currently idle. We offer a possible solution to bridging the legitimacy gap of global adoption of IFRS. We propose an internationally respected regulator and suggest the IOSCO for this role through its participation in the IFRS Foundation Monitoring Board for policing and enforcement of IFRS for cross-listed firms reporting in compliance with IFRS so that the IASB’s output legitimacy may be achieved globally.     

Network influence and organizational performance: The effects of tie strength and structural equivalence

We combine theory and empirical evidence to develop and test three related claims about how ties strength and structural equivalence affect interorganizational performance similarity. First, network partners attain similar levels of performance because direct network ties facilitate information and resource sharing, and the diffusion of organizational practices. Organizations occupying similar network positions attain similar levels of performance because they face similar competitive constraints. Second, because mechanisms underlying performance similarity implied by direct network ties and similarity in network positions are different, strength of network ties and network position affect different dimensions of organizational performance. Third, we expect that tie strength will affect aspects of performance that are more likely to be influenced by processes activated by the direct contact between network partners. We expect structural equivalence to affect more strongly those aspects of organizational performance that are more directly influenced by competition. An analysis of interorganizational networks and organizational performance within a regional community of hospitals provides evidence in support of these claims. Models estimated on a sample of 8190 interorganizational dyads suggest that the effects of tie strength and structural equivalence on organizational performance are highly differentiated and contingent on specific aspects of performance. We show that these conclusions are robust with respect to a wide variety of other factors that may be responsible for performance similarity including competitive interdependence, structural homophily, and resource complementarity.     

组织文化度量:本土模型的构建与实证研究

本文旨在构建本土化的组织文化度量模型,并检验模型的有效性.作者在质性研究的基础上,从"组织对利益相关者的价值判断"与"组织对管理行为的价值判断"两个角度来构建我国组织文化度量模型.前者由组织对股东、客户、员工、社会大众等组织利益相关者价值判断维度构成,后者由组织文化动力特征、效率特征、秩序特征与和谐特征四个子模块构成.在验证性因子分析中,假设模型得到了很好的验证.本文最后比较了本土化模型与国外已有的重要模型在研究逻辑和方法上的差异,并对我国企业文化建设实践提出了若干建议.     

The dark side of leadership: A systematic review of creativity and innovation

It is believed that workplace creativity and innovation are fostered by positive leader behaviors and positive workplace relationships and hindered by the opposite. However, some challenge this view and argue that creativity and innovation can also be fostered when employees experience what is increasingly referred to as “the dark side of leadership”. Research in this area is sparse, contradictory, and overly confusing. We provide a comprehensive systematic review of 106 empirical studies on this topic. We review research on a broad range of constructs, including abusive supervision, authoritarian leadership, narcissistic leadership, and close monitoring. As might be expected, a larger number of the articles reviewed found a negative relationship, but there are important discrepancies and details. Our review reports the main effects, summarizes the results of the mediating and moderating variables, and highlights methodological shortcomings of the previous literature. On this basis, several recommendations are made to advance this field of research.     

企业雇员组织承诺三因素模型实证研究

文章以来自西安15家企业中的742名雇员为样本,采用协方差结构等式模型对组织承诺三因素模型在中国企业雇员中的适用性进行了初步考察。研究主要发现:测量感情承诺和规范承诺的量表具有可接受的信度,但是测量连续承诺的量表信度较低。三个量表表现出可接受的会聚和区分效度,但是效标效度还需要进一步的研究。     

Clustering microarray data using model-based double K-means

The microarray technology allows the measurement of expression levels of thousands of genes simultaneously. The dimension and complexity of gene expression data obtained by microarrays create challenging data analysis and management problems ranging from the analysis of images produced by microarray experiments to biological interpretation of results. Therefore, statistical and computational approaches are beginning to assume a substantial position within the molecular biology area. We consider the problem of simultaneously clustering genes and tissue samples (in general conditions) of a microarray data set. This can be useful for revealing groups of genes involved in the same molecular process as well as groups of conditions where this process takes place. The need of finding a subset of genes and tissue samples defining a homogeneous block had led to the application of double clustering techniques on gene expression data. Here, we focus on an extension of standard K-means to simultaneously cluster observations and features of a data matrix, namely double K-means introduced by Vichi (2000). We introduce this model in a probabilistic framework and discuss the advantages of using this approach. We also develop a coordinate ascent algorithm and test its performance via simulation studies and real data set. Finally, we validate the results obtained on the real data set by building resampling confidence intervals for block centroids.