Unpacking systemic innovation capacity as strategic ambidexterity: How projects dynamically configure capabilities for agricultural innovation

Problems in agriculture and land use are increasingly recognised as complex, uncertain, operating at multiple levels (field to global value chains) and involving social, economic, institutional, and technological change. This has implications for how projects navigate complexity to achieve impact. However, few studies have systematically evaluated how project actors engage with other actors to configure capabilities and resources across multiple levels in agricultural innovation systems (AIS), from the individual to the network, to mobilise and build systemic innovation capacity. An analytical framework conceptualising the nested configuration of capabilities at multiple levels in the AIS is applied to two projects that successfully tackled agricultural and land management problems of differing complexity: (i) improving lamb survival; and (ii) sustainable land management in New Zealand. Findings indicate that innovation capacity constitutes project actors interacting with other AIS actors to configure capabilities and resources at different levels of the AIS in order to leverage positive project path dependencies and break path dependencies that are created by existing and historical capability configurations. Project actors also balance exploiting existing innovation capabilities, as well as using adaptive capability for exploring and creating new capability configurations to respond to emerging circumstances. This implies that projects should have strategic ambidexterity in terms of how they combine exploiting existing and exploring new networks to access, combine, create, or disconnect certain capabilities to address ‘capability voids’ in AIS. This requires support to projects to constantly scrutinise, through reflexive monitoring by dedicated facilitators, specific agriculture and land use policies connected to major sustainable development models (e.g. climate smart agriculture, urban farming, smart farming). The can help assess whether the AIS provides the right mix of capabilities and whether this is adequately supported by innovation policy, to realize transformative policy objectives.     

试论轨道交通工程安全质量隐患的排查治理

本文介绍了我国目前轨道交通工程的现状以及所发生的事故特点、隐患体系,并对如何建立起有效的排查预防机制进行一定的分析探讨。     

因材施教——声乐教学的重要法则

声乐与其它的艺术形式存在着明显的区别，由于难以形象地对声乐的乐理、思想等进行表达，因此在声乐教学的过程中如何有效地让学生更好地理解声乐知识，更好地掌握发声技巧等一直是广大声乐教师关注的重点。鉴于此，文章主要就声乐教学中的因材施教进行研究，通过努力在声乐教学中推动因材施教，学生才能对此会产生更浓厚的兴趣，更好地用声乐来表达内心的思想与情感。     

Tourist Guides and Job Related Problems,Analysis and Evidence from Jordan

This study investigates the challenges that professional Jordanian tourist guides may encounter. The implication of this research stems from the fact that very little research, at least in Jordan, has addressed the problems that tourist guides encounter. Qualitative methods, using participants’ observations and in-depth interviewing methods, were used to generate insights from the collected data. The results reveal multiple critical challenges that impact the professional stability of tourist guides. Further efforts are required to fully understand the needs of tourist guides.     

煤矿企业成本管理存在的问题及其对策

成本管理是每一个企业管治的关键环节,是提升企业效益的重中之重,看重企业成本管治才可以让企业在激烈的市场竞争中具有优势。煤矿企业是国民经济的关键组成部分,对我国能源领域有极大的影响。基于此,论文就煤矿企业成本管理存在的问题和对策进行了探讨。     

大学生网络道德教育研究

本文详细探究互联网对大学生各方面的影响及产生影响的原因和过程,并结合实际工作提出应对各种负面影响的措施,这将为进一步加强大学校园络管理及利用网络开展思想政治工作提供决策依据。     

探究当下高校学生干部培养的新思路

高校学生干部是班级的核心,是师生之间交流的重要纽带。因此,加强学生干部培养对于提升高校教育管理质量具有重要意义。但总来看,当前高校在学生干部的培养上仍存在着一些问题和缺陷。本文主要探究了当下高校学生干部培养的新思路。     

四川秦巴山区矿产资源绿色开发策略研究

四川秦巴山区矿产资源种类丰富,矿产资源的开发利用已成为经济发展的支柱产业之一,但矿业生产过程中产生了严重的矿山环境地质问题。在分析了研究区矿产资源现状的基础上,总结了四川秦巴山区油气开发和固体矿产开发中产生的环境问题,结合国内外矿产资源开发利用实例研究,提出了四川秦巴山区矿产资源的绿色循环开发策略与建议:完整的矿山环境法规是矿产资源绿色开发的根本保障;完善的规划和严格的环境评价是矿产资源可持续开发的第一要务;推进矿山相关科学技术创新是提高矿产开发利用率、矿山生态环境治理的唯一途径,最终使得四川秦巴山区矿业在促进经济腾飞的同时实现绿色可持续发展。     

基于目标满意改进的辽宁农产品出口影响因素分析

辽宁是农产品出口大省,虽然出口额呈逐年上升趋势,但近几年受国内外不同问题和因素的影响,导致辽宁农产品出口出现了瓶颈。本文在总结了辽宁农产品出口的现状的基础上,探讨了辽宁农产品出口的问题,以此总结了影响出口的因素,并基于目标满意对影响因素进行了分析,最终提出了解决措施。     

Using templates and linguistic patterns to define process performance indicators

Process performance management (PPM) aims at measuring, monitoring and analysing the performance of business processes (BPs), in order to check the achievement of strategic and operational goals and to support decision-making for their optimisation. PPM is based on process performance indicators (PPIs), so having an appropriate definition of them is crucial. One of the main problems of PPIs definition is to express them in an unambiguous, complete, understandable, traceable and verifiable manner. In practice, PPIs are defined informally – usually in ad hoc, natural language, with its well-known problems – or they are defined from an implementation perspective, hardly understandable to non-technical people. In order to solve this problem, in this article we propose a novel approach to improve the definition of PPIs using templates and linguistic patterns. This approach promotes reuse, reduces both ambiguities and missing information, is understandable to all stakeholders and maintains traceability with the process model. Furthermore, it enables the automated processing of PPI definitions by its straightforward translation into the PPINOT metamodel, allowing the gathering of the required information for their computation as well as the analysis of the relationships between them and with BP elements.