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This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.

Social entrepreneurs often make public appeals for funding to investors who are motivated by nonfinancial considerations. This emerging research context is an opportunity for researchers to expand the bounds of entrepreneurship theory. To do so, we require appropriate research tools. In this chapter, we show how computer-aided text analysis (CATA) can be applied to advance social entrepreneurship research. We demonstrate how CATA is well suited to analyze the public appeals for resources made by entrepreneurs, provide insight into the rationale of social lenders, and overcome challenges associated with traditional survey methods.

We illustrate the advantages of CATA by examining how charismatic language in 13,000 entrepreneurial narratives provided by entrepreneurs in developing countries influences funding speed from social lenders. CATA is used to assess the eight dimensions of charismatic rhetoric.

We find that four of the dimensions of charismatic rhetoric examined were important in predicting funding outcomes for entrepreneurs.

Data collection and sample size are important challenges facing social entrepreneurship research. This chapter demonstrates how CATA techniques can be used to collect valuable data and increase sample size. This chapter also examines how the rhetoric used by entrepreneurs impacts their fundraising efforts.

With the advance of globalization the competitive chances of industrial districts depends increasingly on their ability to connect to the cognitive circuits of the global economy. This challenge demands the presence of local actors capable of acting as cognitive interfaces between the district context and the global environment. The paper focuses on a specific category of local/global cognitive interfaces, i.e. the institutions that provide knowledge‐intensive business services (KIBS). The purpose is to explain how institutional KIBS play this role.

The paper develops a detailed analysis of the case of such an institution operating in the chair‐manufacturing district of North‐East Italy. Based on this case study, a model is proposed for interpreting the role of a local/global cognitive interface that institutional KIBS are able to perform.

The first part of the framework shows the cognitive processes hosted by this type of institution and the connection between such processes and the KIBS's stock of knowledge. The second part of the model considers the interdependent core capabilities that enable a KIBS to act effectively as a local/global cognitive interface.

The role that institutions, acting as KIBS, can play in promoting the survival of industrial districts has been discussed in some studies but no model has been proposed as yet to explain how these institutions can play such an important part. The paper aims to begin to fill this gap.

A growing body of research outlines how to best facilitate and ensure methodological rigor when using dictionary-based computerized text analyses (DBCTA) in organizational research. However, these best practices are currently scattered across several methodological and empirical manuscripts, making it difficult for scholars new to the technique to implement DBCTA in their own research. To better equip researchers looking to leverage this technique, this methodological report consolidates current best practices for applying DBCTA into a single, practical guide. In doing so, we provide direction regarding how to make key design decisions and identify valuable resources to help researchers from the beginning of the research process through final publication. Consequently, we advance DBCTA methods research by providing a one-stop reference for novices and experts alike concerning current best practices and available resources.

This study aims to demonstrate the application of computer-aided text analysis (CATA) software in identifying primary associations and impressions of a specified tourist destination.

The Leximancer software is applied on primary information to analyze the concepts evoked by a destination. Because no specific planning has been done for destination image marketing strategies for rural tourism in Andalusia, this study visualizes and determines clusters of the main attributes associated with this destination.

The analysis identifies the main clusters among associations and impressions of the destination that can be useful in developing strategies.

Only a target segment is studied, with a relatively small sample size.

Leximancer can not only be applied to online user-generated content, but primary information can also be mapped to generate a holistic destination image. Furthermore, identification of the relevant attributes and impressions can serve to identify unique assets to help tourism organizations develop a destination.

Several implications concerning destination marketing are outlined.

Although previous studies have applied Leximancer and other CATA software, the present research uses a new approach. Deriving the primary information on destination image using an unstructured methodology, the concepts evoked by a destination are mapped. Because there is a lack of research on rural tourism in Andalusia and its destination image, its associated attributes are studied.

本论文展示如何使用CATA分析软件来确定一个具体旅游目的地的主要关系和印象。

Leximancer软件主要用于分析一个目的地引发的相关概念。因为安达卢西亚至今未有确定的乡村旅游目的地形象营销策略, 本论文视觉化和决定与此目的地相关的主要因素群。

研究结果指出了此安达卢西亚目的地的主要相关群和印象群, 这些对于指定战略计划有很大帮助。

本论文只研究了单一市场群, 分析样本量较小。

Leximancer不仅可以用来分析用户生成内容, 还可以分析主要信息, 以展示整体旅游目的地形象。此外, 分析指出的相关因素和印象群可以用来确立独特的资源组合, 帮助旅游机构开发旅游目的地。

本论文结构指出了多个旅游目的地营销的相关启示

尽管文献中有关Leximancer和其他CATA软件的使用文章, 本论文创立了新的使用方法。基于对旅游目的地形象的主要信息进行非结构性研究, 本论文对于旅游目的地的概念进行展开论述。由于至今未有针对安达卢西亚的乡村旅游研究以及旅游目的地形象研究, 本研究论述了其相关因素。

关键词 安达卢西亚、旅游目的地形象、旅游目的地因素、CATA软件、Leximancer

This research aims to investigate how entrepreneurial orientation influences a firm’s differentiation–cost advantage ambidexterity (DCAA) and performance indirectly through dynamic capabilities, while also investigating the impact of the interactive effect of the level and consistency of entrepreneurial orientation on dynamic capabilities. The goal of this study is to better understand the importance of consistently following an entrepreneurial orientation, as well as the linkage of such a consistently implemented strategy upon gaining both a cost and differentiation positioning enhancement.

Two empirical studies are conducted to test the proposed hypotheses – one longitudinal with multiple forms of data (i.e. text data, survey data and archival data) from 100 Taiwanese electronics firms and the other using primary data from a survey of senior managers.

Entrepreneurial orientation improves dynamic capabilities, which in turn promote superior DCAA and enhanced firm performance. In addition, as captured through a unique measure of consistency allowed through computer-aided text analysis, the results indicate that the effect of entrepreneurial orientation on dynamic capabilities is amplified when a firm consistently adopts entrepreneurial decisions and actions.

The specific context was a sample of electronics firms in Taiwan. This limits the generalization of findings, as would be possible with assessing the hypotheses in other industries.

This research clearly demonstrates the significance of consistency in pursuing a strategic orientation. The consistent support and deployment of resources facilitates an organization’s achieving positive outcomes associated with an entrepreneurial orientation.

While entrepreneurial orientation contributes to firm performance, extant knowledge on the internal process through which entrepreneurial orientation affects performance is relatively limited. The findings not only highlight the full mediating role of dynamic capabilities and DCAA, but also shed light on the importance of consistency in entrepreneurial orientation over time.

A survey was made by questionnaire of cataloguing and classification in fifty‐one university libraries. The returned questionnaires revealed many, differences in the classification systems, cataloguing codes, and filing rules used, as well as in the kind and amount of detail in a catalogue entry. There were wide variations in the estimates by libraries of the annual output of a hypothetical ‘average’ cataloguer. There was little uniformity in the statistical data collected by libraries of the work of their cataloguing departments. Little use was made of existing centralized cataloguing services and reasons for this are suggested. More study of user's catalogue needs is necessary. The problems of standardization must be resolved if mechanized techniques are to be fully exploited.

The issue of linguistic autonomy is a central one on the agenda of Catalan politics within the Spanish state. In the transition from Francoism, virtually all political groups in Catalonia supported a statute of autonomy (1982) which declares that “Catalan is the official language of Catalonia, as is Castillian, the official language of the entire Spanish State.”

Past research has generally purported that market orientation (MO) leads to superior firm performance, despite emerging evidence suggesting that the highest levels of MO are not always rewarded. Drawing on resource-based view and MO literature, the authors posit that too much MO may be as detrimental as too little for firms seeking to achieve better performance, and that moderate MO capabilities may be the most beneficial. Furthermore, the authors propose and test for organizational confidence as a first potential moderator of the MO-performance inverted U-shaped link.

The authors use Computer-Assisted-Text-Analysis (CATA) methodology assess constructs from annual reports matched with a 5-year longitudinal dataset of 2,245 firm-year observations drawn from the S&P 500.

The results not only support the presence of an inverted U-shaped link between MO and firm performance, but also identify organizational confidence as an important moderator of this newly uncovered curvilinear relationship.

When it comes to the effect of MO on firm performance, there can be indeed be “too much of a good thing,” and managers should be aware of the trade-offs that come attached with overcommitting to a MO strategy.

The authors contribute to extant research on the MO–performance link by moving beyond simple linear relationships and identifying an inverted U-shaped relationship between MO and firm performance. This newly found curvilinear relationship may explain and reconcile prior contradicting findings on the benefits of MO. Organizational confidence is also found to trigger a shape-flip of the MO–performance link, thereby suggesting a new boundary condition.