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The authors argue that organization design needs to play a more active role in the explanation of differential performance and outline a set of ideas for achieving this both in theoretical and empirical research. Firms are heterogeneous in terms of (1) how well they do things, capturing persistent productivity differences, and (2) how they do things – and both reflect firms’ organization design choices. Both types of heterogeneity can be persistent, and are interdependent, although they have typically been studied separately. The authors propose a simple formal framework – the “aggregation function framework” – that aligns organization design thinking with the emphasis on performance heterogeneity among firms that is characteristic of the strategy field. This framework allows for a more precise identification of how exactly organization design may contribute to persistent performance differences, and therefore what exactly are the assumptions that strategy and organization design scholars need to be attentive to.

The purpose of this paper is to examine the relationship between team heterogeneity and team performance in entrepreneurial team and is also of significance in guiding the management practice of an entrepreneurial team.

The study is carried out based on an experiment, in which a 2×2 experimental group is devised to collect data concerned with the heterogeneity of entrepreneurial team’s expertise and the attitude toward heterogeneity.

The entrepreneurial team’s heterogeneity has a significant effect on entrepreneurial performance; the entrepreneurial team’s heterogeneity influences entrepreneurial performance through team task conflict; attitudes toward heterogeneity play a mediating role in the above process.

This paper is carried out based on an experiment which can be used to determine the mediating effects of team conflict on the relationship between team expertise heterogeneity and the entrepreneurial performance.

A separate study of the different behavioral biases does not allow for a full understanding of the complexity and stability of the heterogeneity of beliefs. Therefore, through a more global view of these anomalies, the authors wish to show that they can converge on a single concept, which is the heterogeneity of beliefs.

It is therefore essential to stress that the importance of this study is mainly reflected in the methodological approach used in the construction and analysis of the map and not only in the results achieved. This contribution states that structural analysis, as a means of building the cognitive map, can facilitate the task of investors and other decision-makers, in the identification and analysis of the heterogeneity of beliefs that can therefore guide investors' strategy in decision-making.

The authors have studied the behavior of the investor and its way of interpreting the information and the authors have emphasized the value of studying the concept of heterogeneity of beliefs in its complexity. So that part of the work seems to be relevant and crucial to filling, if you will, that void. In this sense, the authors have shown that behavioral abnormalities are multidimensional concepts: “self-deception”, “cognitive bias”, “emotional bias” and “social bias”.

In particular, this article will aim to achieve the objective of proposing a model for measuring the heterogeneity of beliefs. Thus, the authors want to show that the heterogeneity of beliefs can be measured directly through the different behavioral anomalies.

Most international marketing studies, taking a sociological position, assume homogeneity within and heterogeneity between cultures. Taking a psychological position and based on the Mindscape Theory, the purpose of this paper is to support the hypothesis that there is intra-cultural and intra-market heterogeneity.

The translated survey for international use has many problems. These problems can greatly be minimized by the use of pictorial/geometric shapes that were used in this study. These shapes were constructed using redundant and non-redundant complexity, and made to be culture neutral.

Data analysis supported the presence of three of the four Mindscape types as was hypothesized, indicating individual intra-market heterogeneity in the three cultures under investigation. Additionally, the corollary hypothesis of transcultural heterogeneity was confirmed.

It has been proposed that Mindscape types are partly innate and partly learned. What proportions constitute each part? Can the learned aspect be unlearned? Can different marketing strategies appeal to each? What marketing programs are better suited to influence the learned aspect? Future studies could explore these issues.

The findings of this paper have wide applicability and implications for international marketing strategy, including ways of deploying market segmentation, target marketing, positioning strategies, as well as configurations of marketing mix elements.

This paper used a novel and unique way for data collection and analysis. A geometric-pictorial survey was used for data collection. Data analysis was done with factor analysis and cluster analysis combined.

The purpose of this paper is to explain the role of firm resources and environmental variables for pursuing new product commercialization in high‐tech markets.

The research design employed for the study consisted of both exploratory and descriptive phases. To begin with, a focused literature review was performed to develop a theoretical framework with seven research hypotheses, which was then empirically validated through a carefully executed survey conducted on the products managers of high tech firms.

The study results have supported six research hypotheses, viz. technology acquisition intent (TAI) to new product commercialization relationship, direct influence of dominant design, market heterogeneity, and network externalities on the firm's TAI relationship. The results of hierarchical regression analysis indicated that the “dominant design to TAI” and the “network externalities to TAI” relationships are significantly moderated by firm resources. However, the “market heterogeneity to TAI” relationship is found to be not moderated by firm resources.

Findings of the study have significant implications to extant product management theory and practice. The study highlights the most important environmental variables in high‐tech markets that act as antecedents to a firm's TAI and the effect of TAI on new product commercialization. Further, the study reveals the differential effects of these antecedent variables across firms owing to the varying levels of resource availability.

The paper reports the significant outcomes of an important study on product management that attempted to establish the linkages across environmental variables, firm resources, and firm's technology strategy in pursuing the new product commercialization.

The purpose of this study was to analyze the impact of top management teams on firms' value chain action intensity and value chain activity heterogeneity.

The study was conducted from an emerging market perspective. The sample was based on the secondary data collected from three fast-growing industries in India: automobile, pharmaceutical and fast-moving consumer goods over the three-year period from 2009 to 2012. The Panel Poisson and Tobit regression have been used to conduct this study.

Drawing upon the upper echelon theory, the author found that a top management team's educational level, functional heterogeneity and total organizational tenure influence value chain action intensity and value chain activity heterogeneity.

The author introduces the concept of value chain action intensity and value chain action heterogeneity and investigates the role of the upper echelon in influencing intensity and heterogeneity.

The purpose of this paper is to present a topology-based tissue scaffold design methodology to accurately represent the heterogeneous internal architecture of tissues/organs.

An image analysis technique is used that digitizes the topology information contained in medical images of tissues/organs. A weighted topology reconstruction algorithm is implemented to represent the heterogeneity with parametric functions. The parametric functions are then used to map the spatial material distribution following voxelization. The generated chronological information yields hierarchical tool-path points which are directly transferred to the three-dimensional (3D) bio-printer through a proposed generic platform called Application Program Interface (API). This seamless data corridor between design (virtual) and fabrication (physical) ensures the manufacturability of personalized heterogeneous porous scaffold structure without any CAD/STL file.

The proposed methodology is implemented to verify the effectiveness of the approach and the designed example structures are bio-fabricated with a deposition-based bio-additive manufacturing system. The designed and fabricated heterogeneous structures are evaluated which shows conforming porosity distribution compared to uniform method.

In bio-fabrication process, the generated bio-models with boundary representation (B-rep) or surface tessellation (mesh) do not capture the internal architectural information. This paper provides a design methodology for scaffold structure mimicking the native tissue/organ architecture and direct fabricating the structure without reconstructing the CAD model. Therefore, designing and direct bio-printing the heterogeneous topology of tissue scaffolds from medical images minimize the disparity between the internal architecture of target tissue and its scaffold.

Observing across four comparative case organizations, the purpose of this paper is to identify two sources of contingency (i.e. construct and contextual contingency) for the relationship between knowledge heterogeneity and innovation.

The contingencies was explored by conducting a comparative case analyses with rich qualitative data extracted and interpreted from four case companies.

First, the construct contingency is examined by refining knowledge heterogeneity into three dimensions: domain, process, and context heterogeneity. Specifically, the author proposed that knowledge heterogeneity in domain is associated with innovation in an inverted U-shape, while heterogeneity in process and context dimensions both negatively influence innovation. Second, contextual contingency is studied. The author proposed that: trust positively moderates the relationship between knowledge heterogeneity and innovation; depending on the knowledge owner attributes, centralization positively or negatively moderates the relationship between heterogeneous knowledge and innovation; shared knowledge vision positively moderates the relationship between knowledge heterogeneity and innovation.

The influences of knowledge heterogeneity on innovation have yet been inconsistent. The present study set to reconcile such inconsistency with a solution of contingencies that intervene the heterogeneity-innovation relationship. These results offer useful references for future large-scaled, quantitative studies.

Different studies have been conducted on the relationship between technological capability and firm performance. These studies obtain different values for the relationship, known as heterogeneous results. The purpose of this paper is to analyze the relationship between technological capability and firm performance and its statistical between-study heterogeneity.

In order to analyze all the results from this relationship that were found in the literature, we adopted the literature review with a meta-analytic method. We consulted the Scopus and Web of Science databases, which returned, after the application of inclusion criteria, 23 primary studies with data from 5,882 manufacturing firms.

We observed that technological capability and performance are positively related; however, the results regarding this relationship are heterogeneous. We discovered four possible sources of statistical between-study heterogeneity: (i) the statistical between-study heterogeneity of the variables to measure technological capability and performance; (ii) orientation of the thematic approach – some illustrate the relationship between technological capability and performance using mathematical and theoretical models, while others examine the relationship between technological capability and performance and propose implications pertaining to that relationship; (iii) the source of data for primary studies and (iv) the context in which this relationship is observed.

It is necessary to standardize a set of variables through which technological capability and performance are evaluated so that results and implications can be usefully compared between countries and industrial sectors.

The contribution to knowledge is identifying the statistical between-study heterogeneity on the relationship between technological capabilities and firm performance, as well as its potential sources.

The purpose of this paper is to explain the “good-to-good” app switching phenomenon that has not been specifically addressed in the prior switching literature. Drawing on the consumer learning theory, this study explores how external social word of mouth (WOM) and internal satisfaction influence app users’ switching intention through social learning route and analogical learning route. This study also examines the moderating effect of app heterogeneity.

An online survey was used to collect data. Two categories of mobile apps with different levels of within-category heterogeneity were targeted in survey questions. A total of 525 valid survey responses were collected.

Social WOM about a competing app increases users’ switching intention through both social norm influence and social information influence, resulting in a direct effect on switching intention and an indirect effect through the perceived attractiveness of a competing app. Users’ satisfaction with an adopted app positively influences the perceived attractiveness of an unadopted competing app, offering evidence for analogical learning in user switching. Meanwhile, users’ satisfaction imposes a direct negative effect on switching intention. A higher level of within-category heterogeneity strengthens (weakens) the positive effect of social WOM (satisfaction) on users’ perceived attractiveness of a competing app.

This study complements the existing switching literature by disentangling the “good-to-good” switching phenomenon in the mobile app market from the consumer learning perspective. This study extends the understanding of cross-category user switching by considering different levels of product heterogeneity.