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The purpose of this paper is to guide commercial and policy action to improve smallholder Indonesian cattle systems.

A survey (n = 304) of smallholder cattle farms in six villages in two districts of Nusa Tenggara Barat, Indonesia. Principal component analysis (PCA) and cluster analysis (CA) were employed to classify cattle farms into business models according to observed innovation. Differences between business models were identified using a one-way-analysis-of-variance (ANOVA).

Four business models were identified, representing profiles of innovation adoption and elements of business models, socio-economic characteristics, farming system and performance variables including revenue, cost and profit. The business models display a range of orientation to buyer requirements and a range of approaches to production, indicating a need to promote in a variety of ways the change from supply-push to demand-pull in the cattle value chain.

This study offers guidance on how business models might be strengthened over time, by using simple indicators of performance and the models' linkage to innovation in the context of each business model. The business models developed here, and refinements to them based on localised conditions, offer a targeted and accelerated pathway to improved performance in smallholder systems.

This study proposed a novel approach to the recognition of business models based on innovation.

This paper aims to examine the conditions under which small and medium enterprises (SMEs) invest in security services when they migrate their e-commerce applications to the cloud environment. Using a risk management perspective, the paper assesses the impact of security service pricing, security incident prevalence and virulence to estimate SME security spending at the market level and draw out implications for SMEs and security service providers.

Security risks are inherently characterized by uncertainty. This study uses a Monte Carlo approach to understand the role of uncertainty in the decision to adopt security services. A model relating key security constructs is assembled based on key constructs from the domain. By manipulating security service costs and security incident types, the model estimates the market-level adoption of services, security incidents and damages incurred, along with measures of their relative dispersion.

Three key findings emerge from this study. First, adoption of services and protection is higher when tiered security services are provided, indicating that SMEs prefer to choose their security services rather than accept uniformly priced products. Second, SMEs are considered price-sensitive, resulting in a maximum level of spending in the market. Third, results indicate that security incidents and damages can be much higher than the mean in some cases, and this should serve as a cautionary note to SMEs.

Security spending has been modeled at the firm level. Adopting a market-level perspective represents a novel contribution. Additionally, the Monte Carlo approach provides managers with tangible measures of uncertainty, affording additional information and insight when making security service adoption decisions.

This bibliometric study aims to analyze the latest trends and patterns of big data applications in librarianship from 2000 to 2022. By conducting a comprehensive examination of the existing literature, this study aims to provide valuable insights into the emerging field of big data in librarianship and its potential impact on the future of libraries.

This study employed a rigorous four-stage process of identification, screening, eligibility and inclusion to filter and select the most relevant documents for analysis. The Scopus database was utilized to retrieve pertinent data related to big data applications in librarianship. The dataset comprised 430 documents, including journal articles, conference papers, book chapters, reviews and books. Through bibliometric analysis, the study examined the effectiveness of different publication types and identified the main topics and themes within the field.

The study found that the field of big data in librarianship is growing rapidly, with a significant increase in publications and citations over the past few years. China is the leading country in terms of publication output, followed by the United States of America. The most influential journals in the field are Library Hi Tech and the ACM International Conference Proceeding Series. The top authors in the field are Minami T, Wu J, Fox EA and Giles CL. The most common keywords in the literature are big data, librarianship, data mining, information retrieval, machine learning and webometrics.

This bibliometric study contributes to the existing body of literature by comprehensively analyzing the latest trends and patterns in big data applications within librarianship. It offers a systematic approach to understanding the state of the field and highlights the unique contributions made by various types of publications. The study’s findings and insights contribute to the originality of this research, providing a foundation for further exploration and advancement in the field of big data in librarianship.

Tourists’ resource integration both offers opportunities and presents challenges to tourism service providers. Focussing on the tour guide perspective, the purpose of this paper is to explore how tour guides experience knowledge/information-based asymmetry in encounters with tourists and identifies the roles and coping strategies used by guides to facilitate service co-production.

Critical incident technique is used in qualitative interviews with 47 tour guides in Scotland, broadly representative of the Scottish tour guiding context. 107 critical incidents were analysed, with an average of 2.32 incidents per interview. Narrative analysis of the incidents was performed inductively in four iterative steps using QSR NVivo.

Three resource asymmetry incident categories are identified: probing – Guide-Oracle is questioned by inquiring tourists and copes through diverting, evasion, and follow-up strategies; learning – Guide-Magpie learns from expert tourists through acknowledging and co-delivery; and negotiation – Guide-Diplomat with greater knowledge helps misguided tourists save face through appeasing, following the official line and tactfully correcting.

The paper contributes to service co-production research in tourism by theorising about contexts where knowledge/information asymmetry exists between tour guides and tourists, particularly where fluid power relations between guides and knowledgeable tourists occur or where misguided tourists co-produce the service by prioritising own meanings. Findings highlight the importance of soft skills and other non-content capabilities of guides, and suggestions are offered for effective training and resource sharing/ learning initiatives for tour guiding services.

游客资源整合为旅游服务提供商提供了机遇, 同时也带来了挑战。本文以导游视角为重点, 探讨了导游在与游客接触中如何体验知识/信息不对称, 并识别了导游用于促进服务共同生产的角色和应对策略。

本研究采用关键事件技术（CIT）进行质性访谈, 对象为苏格兰的47名导游, 广泛代表苏格兰导游环境。分析了107个关键事件, 每次访谈平均2.32个事件。对事件的叙述分析在QSR NVivo中通过四个迭代步骤进行归纳性分析。

确定了三个资源不对称的事件类别：1）探询 - 导游-神谕被询问, 通过转移、回避和后续策略来应对询问的游客; 2）学习 - 导游-喜鹊通过承认和共同交付从专业游客中学到经验; 3）协商 - 导游-外交官以更多知识帮助误导的游客保全体面, 通过安抚、追随官方路线和巧妙纠正来应对。

本文通过理论化导游和游客之间存在知识/信息不对称的情境, 特别是在导游和知识丰富的游客之间存在流动权力关系的情况下, 或者误导的游客通过优先考虑自己的意义来共同生产服务的情境, 为旅游服务的共同生产研究做出了贡献。研究结果强调了导游的软技能和其他非内容能力的重要性, 并提出了关于为导游服务提供有效培训和资源共享/学习倡议的建议。

La integración de recursos de los turistas ofrece oportunidades y presenta desafíos para los proveedores de servicios turísticos. Centrándose en la perspectiva de los guías turísticos, este artículo explora cómo los guías turísticos experimentan una asimetría basada en conocimiento/información en encuentros con turistas, e identifica los roles y estrategias de afrontamiento utilizados por los guías para facilitar la coproducción de servicios.

La técnica de incidentes críticos (CIT) se utiliza en entrevistas cualitativas con 47 guías turísticos en Escocia, ampliamente representativos del contexto de los guías turísticos escoceses. Se analizaron 107 incidentes críticos, con una media de 2,32 incidentes por entrevista. El análisis narrativo de los incidentes se realizó de forma inductiva en cuatro pasos iterativos utilizando QSR NVivo.

Se identifican tres categorías de incidentes de asimetría de recursos: 1) Sondeo: los turistas interrogan a Guide-Oracle y lo afronta mediante estrategias de desvío, evasión y seguimiento; 2) Aprendizaje: Guide-Magpie aprende de turistas expertos a través del reconocimiento y la entrega conjunta; y 3) Negociación: el guía-diplomático con mayor conocimiento ayuda a los turistas descarriados a salvar las apariencias apaciguándolos, siguiendo la línea oficial y corrigiendo con tacto.

El artículo contribuye a la investigación de la coproducción de servicios en el turismo al teorizar sobre contextos donde existe asimetría de conocimiento/información entre guías turísticos y turistas, particularmente donde ocurren relaciones de poder fluidas entre guías y turistas conocedores, o donde turistas equivocados coproducen el servicio priorizando propios significados. Los hallazgos resaltan la importancia de las habilidades interpersonales y otras capacidades de los guías no relacionadas con el contenido, y se ofrecen sugerencias para iniciativas efectivas de capacitación e intercambio de recursos/aprendizaje para los servicios de guías turísticos.