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This impact assessment provides empirical evidence from household producer surveys to test the assumptions surrounding the contribution of participatory varietal selection (PVS) activities on seed sector development. The purpose of this paper is to focus on household access and adoption of common bean varieties from seed provision services and local markets to determine if, and under what social conditions, PVS activities stimulated seed uptake and market participation.

The propensity score matching technique and simple regression analysis were used to estimate the impact and compare household performance across three farmer groups located in Hoima, Uganda.

PVS increased access to and adoption of improved varieties and supported additional intermediate development outcomes when farmer group characteristics were aligned with PVS efforts. Specifically, PVS was more likely to stimulate market purchases of newly introduced varieties in the farmer group located closest to markets. The project did not however, improve all the development objectives that were evaluated. PVS most critically, did not increase the probability that households received the specific varieties they desired.

This study found that PVS can support the key pillars of seed sector development. In addition to increasing household access to new varieties, free seed dissemination promoted market participation and stimulated local seed market development.

This study addressed the need to consider intermediate development outcomes in impact assessments of development interventions. The findings clarified the contribution of PVS in the context of broader development goals and identified farmer group dynamics associated with enhanced impacts among rural producers in Uganda.

This study examines the adoption drivers of scale-appropriate mechanization in Nepal's maize-based farming systems. The authors also assess the contribution of scale-appropriate mechanization to the United Nations Sustainable Development Goals (SDGs) of zero hunger (SDG2) and no poverty (SDG1).

Propensity score matching and doubly robust inverse probability-weighted regression adjusted methods were applied to estimate the effects of mini-tiller adoption. These methods control the biases that arise from observed heterogeneities between mini-tillers users and nonusers.

The study findings show that farm size, labor shortages, draft animal scarcity, market proximity, household assets and household heads' educational level influence the adoption of mechanization in Nepal. Mechanized farms exhibited enhanced maize productivity, profits and household food self-sufficiency. Reduced depth and severity of poverty were also observed. Nevertheless, these effects were not uniform; very small farms (≤0.41 ha) facing acute labor shortages benefited the most.

The study results suggest that policymakers in developing nations like Nepal may wish to expand their emphasis on scale-appropriate mechanization to improve farm productivity and household food security, reduce poverty and contribute to the SDGs.

This first-of-its-kind study establishes the causal effects between scale-appropriate farm mechanization and SDG1 (no poverty) and SDG2 (zero hunger) in a developing nation.

The study aims to paint a representative picture of the current state of search interfaces of Swedish online museum collections, focussing on search functionalities with particular reference to subject searching, as well as the use of controlled vocabularies, with the purpose of identifying which improvements of the search interfaces are needed to ensure high-quality information retrieval for the end user.

In the first step, a set of 21 search interface criteria was identified, based on related research and current standards in the domain of cultural heritage knowledge organization. Secondly, a complete set of Swedish museums that provide online access to their collections was identified, comprising nine cross-search services and 91 individual museums' websites. These 100 websites were each evaluated against the 21 criteria, between 1 July and 31 August 2020.

Although many standards and guidelines are in place to ensure quality-controlled subject indexing, which in turn support information retrieval of relevant resources (as individual or full search results), the study shows that they are not broadly implemented, resulting in information retrieval failures for the end user. The study also demonstrates a strong need for the implementation of controlled vocabularies in these museums.

This study is a rare piece of research which examines subject searching in online museums; the 21 search criteria and their use in the analysis of the complete set of online collections of a country represents a considerable and unique contribution to the fields of knowledge organization and information retrieval of cultural heritage. Its particular value lies in showing how the needs of end users, many of which are documented and reflected in international standards and guidelines, should be taken into account in designing search tools for these museums; especially so in subject searching, which is the most complex and yet the most common type of search. Much effort has been invested into digitizing cultural heritage collections, but access to them is hindered by poor search functionality. This study identifies which are the most important aspects to improve.

This article aims to understand whether and how a digital transformation strategy (DTS) can strengthen the relationship between network organizations and the generation/regeneration of their business network commons (BNC). Further, it investigates the role of the DTS in managing the BNC, a critical source of business network success.

A two-year longitudinal case study of an Italian business network operating in the wine sector was conducted.

This study provides theoretical insights into the digital, sustainable shift of a business network. On combining a network's business strategy and its DTS, digital resources are a key driver to promote BNC regeneration. A DTS undertaken to manage, regenerate and preserve the BNC can positively affect organizational variables, such as participatory architecture, and the network-level organizational integration and can help in preventing opportunistic behaviors affecting the BNC. Moreover, the DTS supports quality and social responsibility.

This study focuses on an Italian case and its findings are hence not generalizable. It would be interesting to study sustainable business networks' digital shift in different socioeconomic contexts as well as in different industry settings.

Network SMEs and other stakeholders (institutions, competitors and consumers) can foster the transition from a “business-as-usual” strategy to a long-term strategy for digitalized management of common resources.

The study is at the intersection of, and contributes to, several research streams. It contributes to the digital transformation literature by adding information on the positive externalities of digitalization in the social and economic environment. It also contributes to the early streams of organizational and managerial literature on the BNC.

The paper analyzes and develops Chiva's (2014) proposal on the common welfare HRM system and uncovers its relationship with innovativeness, using altruism as a mediator.

The common welfare HRM system implies a certain human and organizational development of the classic control and commitment HRM systems, and its main goal is to promote innovation through a prosocial approach. To this end, the authors investigated its HRM practices, developed a measurement instrument and provided initial illustrative evidence of some of its main implications for innovativeness and altruism. They tested these relationships on a sample of 269 Spanish firms using structural equations and bootstrapping to confirm the significance of the mediated effect.

Results confirm the study’s hypotheses, thus supporting the common welfare HRM system as a relevant tool for developing innovativeness through the power of altruism. This paper therefore provides empirical evidence of these relationships.

This study has implications that can help managers to increase innovativeness through a specific HRM system. The findings reveal that a coherent set of HRM practices based on common welfare principles and a high level of consciousness creates a climate of altruism that results in innovativeness.

This research shows that humanistic HRM practices also have an impact on performance variables such as innovativeness, through altruistic employees' behaviors. It also develops a measurement instrument for the common welfare HRM system and provides some initial illustrative evidence of some of its main implications.

本文分析並發展Chiva (2014) 關於共同福祉人力資源管理系統的建議;同時，擬以利他主義為中介變量、揭示共同福祉人力資源管理系統與創新意念之間的關係。

共同福祉人力資源管理系統暗示了典型的管制和承諾型人力資源管理系統的人類與組織發展;而共同福祉人力資源管理系統的主要目的是以親社會理念去鼓勵創新。為此，我們探討了共同福祉人力資源管理措施，制訂了測量儀器，並為共同福祉人力資源管理可幫助帶來創新意念和利他主義的啟示，提供了初步的例證。研究的樣本為269間西班牙公司;我們以結構方程去檢測共同福祉人力資源管理與創新意念和利他主義之間的關係，並創造環境，俾能確認有關之中介效應的重要性。

研究結果證實了我們的假設，就是說，研究結果確認了透過利他主義的影響力，共同福祉人力資源管理系統是可以成為促進創新意念的工具的。就此而言，本文提供了關於這些關係的經驗證據。

本研究顯示了人文主義的人力資源管理措施，亦可透過僱員無私的行為，影響著各個績效變量，像是創新意念。研究亦為共同福祉人力資源管理系統制訂了測量儀器，並提供了初步的例證，確認了該人力資源管理系統所給予我們的主要啟示。

本研究為管理人員提供了啟示，協助他們透過特定的人力資源管理系統去增強創新意念。研究結果顯示、建基於共同福祉的原則和高度意識水平的一整套連貫的人力資源管理措施，能創造一個引來創新意念的利他主義氣氛。

The paper focuses on how knowledge visualization supports the development of a particular multiobjective decision-making problem as a portfolio optimization problem in the context of interorganizational collaboration between universities and a large automotive company. This paper fits with the emergent knowledge visualization literature because it helps to explain decision-making related to the development of a multiobjective optimization model in Lean Product Development settings. We investigate how using ad hoc visual tools supports knowledge translation and knowledge sharing, enhancing managerial judgment and decision-making.

The empirical case in this study concerns the setting up of a multiobjective decision-making model as a portfolio optimization problem to analyze and select alternatives for upgrading the lean production process quality at an FCA plant.

The study shows how knowledge visualization and the associated tools work to enable knowledge translation and knowledge sharing, supporting decision-making. The empirical findings show why and how knowledge visualization can be used to foster knowledge translation and sharing among individuals and from individuals to groups. Knowledge visualization is understood as both a collective and interactional process and a systematic approach where different players translate their expertise, share a framework and develop common ground to support decision-making.

From a theoretical perspective, the paper expands the understanding of knowledge visualization as a system of practices that support the development of a multiobjective decision-making method. From an empirical point of view, our results may be useful to other firms in the automotive industry and for academics wishing to develop applied research on portfolio optimization.

The purpose of this paper is to present a case study of work performed at the London School of Hygiene and Tropical Medicine to set-up a Research Data Management Service and tailor it to the needs of health researchers.

The paper describes the motivations for establishing the RDM Service and outlines the three objectives that were set to improve data management practice within the institution. Each of the objectives are explored in turn, stating how they were addressed.

A university with limited resources can operate a RDM Service that pro-actively supports researchers wishing to manage research data by monitoring evolving support needs, identifying common trends and developing resources that will reduce the time investment needed. The institution-wide survey identified a need for guidance on developing data documentation and archiving research data following project completion. Analysis of ongoing support requests identifies a need for guidance on data management plans and complying with journal sharing requirements.

The paper provides a case study of a single institution. The results may not be generally applicable to universities that support other disciplines.

The case study may be helpful in helping other universities to establish an RDM Service using limited resources.

The paper outlines how the evolving data management needs of public health researchers can be identified and a strategy that can be adopted by an RDM Service to efficiently address these requirements.

Major incidents in tunnel environment will pose several challenges for the emergency service organisations in terms of heat, visibility and lack of experiences from working in confined environments. These aspects, in turn, could pose challenges to establish collaboration. This study aims to contribute to the field of collaborative tunnel responses by exploring how “common knowledge” (Edwards, 2011) is built by the emergency services organisations, that is, what the organisations consider important while working on a potentially common problem, and their motives for the interpretations and actions if a major tunnel incident occurs.

Participants from the road traffic control centre, emergency dispatch centre, emergency medical service, rescue service and police were included in the study. Data from four focus group sessions was analysed using thematic analysis.

The study revealed that the tunnel environment presents specific aspects of how common knowledge was produced related to lifesaving and safety. The themes structuring mechanisms to reduce uncertainty, managing information for initial priorities, aligning responsibilities without hampering each other's work and adjusting actions to manage distance, illustrated how common knowledge was produced as crucial aspects to a collaborative response. Organising management sites, grasping and communicating risks, accessing the injury victims, was challenged by the confined environment, physical distances and imbalance in access to information and preparedness activities in tunnel environments.

This study offers new insights of common knowledge, by illustrating a motive perspective on collaborative responses in tunnel incidents. Creating interoperability calls not just for readiness for action and tunnel safety, but also training activities acknowledging different interpretations and motives to further develop tunnel responses.

Business model innovation is a key element for firms' competitiveness. Its development can be supported by the establishment of an actor-oriented scheme to overcome hierarchical structures. The actor-oriented scheme is characterized by intra-organizational networks of relationships that can be established and dissolved between individuals. However, we lack an empirical perspective about its establishment; therefore, the purpose of this research is to advance our understanding of intra-organizational networks for supporting business model innovation.

Individuals create and manage knowledge aimed to innovate the business model through cognitive search and experiential learning mechanisms. Knowledge is spread within organizations by using intra-organizational advice networks, whose patterns reflect the presence of an actor-oriented scheme. This work applies social network analysis to network data from a multi-unit organization specializing in personal care services. We use a Logistic Regression-Quadratic Assignment Procedure to analyze intra-organizational network data on managers' advice exchange related to the learning modes of cognitive search and experiential learning.

Our research empirically identifies the main elements of an actor-oriented scheme in a business model innovation process. We find that managers are able to self-organize, because they are not influenced by their organizational roles, and that commons for sharing resources and protocols, processes and infrastructures enable advice exchange, thus showing the presence of an actor-oriented scheme in business model innovation process.

This research is based on a cross-sectional database. A longitudinal study would provide a better understanding of the network evolution characterizing the innovation process.

The results of our study support organizational decision-making for business model innovation.

This study provides empirical evidence of how an actor-oriented scheme emerges in a business model innovation process.