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Strategy.

The case study is intended for organization theory and strategic management courses at the undergraduate and postgraduate (MBA) levels.

The case describes a company located in a fictitious developing country. The main activity of the company is the exploitation and production of tin, which it has developed over its 40-year history (1971-2011). During the first 33 years, it developed three capabilities: namely, technical, productive and the generation of trust among employees. The case illustrates three characteristics of capabilities: problem solving and complexity, practicing and succeeding, and reliability over time. The case also illustrates a paradox related to capabilities and shows three of its causes: path dependency and lock-in to a given course of action, structural inertia, and the absence of a capability dynamization function. In 2009, the company was faced with the need to reshape its capabilities and the arrival of a new President to the company provided the appropriate occasion to analyse this option.

These include: understanding what an organizational capability is and what its main characteristics are; understanding the process by which an organizational capability emerges and develops, and how it may be eroded in a given scenario; understanding a paradox an organization faces when capabilities are developed; and understanding why the concept of dynamic capabilities does not add power to the concept of capabilities.

Teaching notes are available, please consult your librarian for access. Videos with interviews of employees of the case company are also available.

Purpose: Provide insights on how social entrepreneurship (SE) knowledge can be more effectively generated by universities through the entrepreneurial creation and effective management of a knowledge network centered on international collaborative research; illuminate how one such network has enabled Latin American researchers to advance the knowledge and practice frontiers in the hemisphere and globally. Methodology/Approach: Retrospective analysis of the two-decade evolution of the Social Enterprise Knowledge Network, a pioneering international research collaboration (IRC) of Ibero-American management schools. Findings: Documents factors and dynamics enabling the successful creation and operation of international knowledge networks. Analyzes the key mechanisms for capturing synergies in collaborative research. Identifies specific effectiveness determinants for successfully operating an international social enterprise knowledge generation network. Identifies multiple impacts of a knowledge generation network. Research Implications: Advances understanding of IRCs. Provides a model for assessing knowledge network multiple impacts. Identifies a series of future research opportunities and needs. Practical Implications: Provides operational guidance for researchers developing or operating collaborative international knowledge networks. Social Implications: Reveals the value of collaboration in international research and factors that contribute to effective collaboration. Originality/Value: Provides unique retrospective study of an IRC network operated by developing country schools of management. Expands the scope of recent comparative research on SE education to include a set of countries in Ibero-America. Documents an approach to assessing the impacts of a knowledge network. Identifies important areas for advancing future social enterprise research and teaching.

Different approaches have tried to explain the multiple ways in which businesses engage in social‐purpose activities. The achievements and shortcomings of business social engagement in a country with complex socio‐political conditions like Colombia allows a rich description in two levels: a panorama of very diverse social initiatives, and an understanding of how particular companies have been able to put the market and the State to create social value. We contend that despite the tradition of business engagement in the betterment of Colombian society, collective action among businesses is yet to be achieved.

Highlights the lack of comprehensive collections of Hispanic materials in the USA. Discusses how and why this situation should be remedied. Suggests suitable bibliographies as a starting point for collection building. Describes the assessment of a Hispanic American collection at the University of California, Irvine.

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

The objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining and machine learning to healthcare engineering systems.

A systematic literature review (SLR) was conducted to obtain the most relevant papers related to the research study from three different platforms: EBSCOhost, ProQuest and Scopus. The literature was assessed and synthesized, conducting analysis associated with the publications, authors and content.

From the SLR, 576 publications were identified and analyzed. The research area seems to show the characteristics of a growing field with new research areas evolving and applications being explored. In addition, the main authors and collaboration groups publishing in this research area were identified throughout a social network analysis. This could lead new and current authors to identify researchers with common interests on the field.

The use of the SLR methodology does not guarantee that all relevant publications related to the research are covered and analyzed. However, the authors' previous knowledge and the nature of the publications were used to select different platforms.

To the best of the authors' knowledge, this paper represents the most comprehensive literature-based study on the fields of data analytics, big data, data mining and machine learning applied to healthcare engineering systems.

To study the reasons why iconic companies suffer failure.

This briefing is prepared by an independent writer who adds their own impartial comments and places the findings in context.

Betsy Morris chronicles the downward slide of Coca‐Cola's performance since the death, in 1997, of its charismatic CEO Roberto Goizueta. Jill Andresky Fraser focuses on the fortunes of Kellogg which, in 1999, lost its no. 1 spot as market leader. Louise Lee reports on the troubles of another iconic brand, Levi Strauss, where the current financial situation allows little margin for mistakes.

Provides an insight into how things can go wrong in the best‐known of companies, and a glimpse of how different methods are adopted to attempt a turnaround.

This article aims to report on the development and validation of a bribery measurement index for the business sector, which, based on institutional theory, seeks to overcome the limitations of traditional measurements, recognizing the dynamics that originate the phenomenon and identifying process components.

To construct the index, correlational and principal component analysis techniques were used, as well as rigorous statistical tests, validating the instrument in a sample of 2,963 companies in Latin America, including Argentina, Colombia, Chile, Ecuador, Guatemala, Mexico and Peru.

The result was an instrument composed of two dimensions: (1) anti-bribery game rules, composed of regulations knowledge and anti-bribery efforts, and (2) bribery as a perceived habit, allowing an objective representation of reality due to its internal consistency, concurrent and discriminant validity.

This instrument is one of the few that focuses on measuring bribery in the business sector in terms of corrupt practices, applicable for both public and private institutions to promote game rules against bribery. Additionally, the proposed theoretical model can be used to measure other phenomena with similar characteristics.

This article empirically highlights different variables that make bribery possible. The results can be helpful in the design of strategies to prevent this type of behavior. It also highlights the importance of designing mechanisms to record information related to bribery and the different expressions of corruption in order to explain its different nuances.

Este artículo informa sobre el desarrollo y validación de un índice de medición de soborno para el sector empresarial, que, basado en la teoría institucional, busca superar las limitaciones de las mediciones tradicionales, reconociendo las dinámicas que originan el fenómeno e identificando los componentes del proceso.

Para la construcción del índice se utilizaron técnicas de análisis correlacional y de componentes principales, así como rigurosas pruebas estadísticas, validando el instrumento en una muestra de 2.963 empresas de América Latina, entre ellas Argentina, Colombia, Chile, Ecuador, Guatemala, México y Perú.

El resultado fue un instrumento compuesto por dos dimensiones: (1) reglas de juego antisoborno, compuestas por conocimiento normativo y esfuerzo antisoborno (2) soborno como hábito percibido, permitiendo una representación objetiva de la realidad debido a su consistencia interna, validez concurrente y discriminante.

Este artículo pone en evidencia empírica diferentes variables que hacen posible el soborno. Los resultados pueden ser útiles en el diseño de estrategias para prevenir este tipo comportamiento, también destaca la importancia de diseñar mecanismos para registrar la información relacionada con la lucha contra el soborno.

Este instrumento es uno de los pocos que se enfoca en medir el soborno en el sector empresarial en términos de prácticas de corrupción, útil para instituciones tanto públicas como privadas para promover mejores reglas de juego en contra del soborno. Adicionalmente el modelo teórico propuesto puede ser utilizado para medir otros fenómenos con características similares.