Converging scientific fields and new technological paradigms as main drivers of the division of scientific labour in drug discovery process: the effects on strategic management of the R&D corporate change

The thesis of this study is that the convergence of genetics, genomics and proteomics spurs new technological paradigms in medicine, which are generating a R&D corporate change: division of scientific labour of the drug discovery process by strategic alliances among firms in order to reinforce the integrative capabilities in different biomedical research fields and collective and cumulative learning between in-house R&D and external sources of innovation. This study shows, by key a case study of pharmaceutical companies, as scientific and technological paradigms in medicine are main drivers of industrial and R&D corporate change to enhance and accelerate the discovery process of ground-breaking drugs for more and more personalised healthcare.     

Are traditional industrial partnerships so strategic for research spin-off development? Some evidence from the Italian case

This paper aims to contribute to the literature on research spin-offs (SOs) and strategic alliances. The research SO phenomenon has attracted significant attention in recent years. Yet, research SOs might present a particular situation regarding their economic development. Therefore, the paper focuses on the relevance of traditional industrial partnerships and introduces a new and complementary approach for studying and analysing the role of alliances for this particular kind of firm. The results of a questionnaire investigation of Italian research SOs with and without a traditional industrial partner are investigated and supported by a linear regression model. Due to recent initiatives – a growing interest in the research SO phenomenon – and the increasing number of established research SOs, Italy is a suitable case study for such an investigation. Nonetheless, the results are generalizable beyond the Italian case. The findings demonstrate thought-provoking – and somehow unexpected – results regarding the role of traditional alliances in shaping the geographical and industrial environment as well as the performance, added value, age and production process of the company. This calls for a broader perspective regarding industrial partnerships and research SOs: it reflects new modes of relations for these particular firms in the form of business ecosystems, either they are physical or they are digital.     

境外残障旅游与无障碍旅游研究进展与启示

文章围绕残障与旅游、残障旅游市场需求、残障旅游市场供给和无障碍旅游4大研究主题8个研究细类,梳理残障旅游境外研究状况。境外研究总体态势是以残障群体旅游需求为研究重点,围绕残障群体的旅游特点、动机、需求、偏好、决策、体验和出行障碍作诸多有益探索;同时基于残障群体的旅游需求特性,从旅行社、航空运输、住宿、景区4大旅游产业角度,针对性研究解决残障人群出行和旅游参与障碍、提供合理旅游产品和服务的思路和方法。文章最后评述了境外研究的思路、方法与不足,并从研究方法、研究团队构成和近期可以开展的研究领域对国内学者提出建议。     

家庭旅游研究进展——基于2000-2019年英文文献的综述

家庭旅游是全球旅游业最重要的细分市场。近年来,我国家庭旅游市场的规模和发展潜力受到业界的广泛关注,但相对于我国家庭旅游市场的发展实践,国内学术界对这一细分市场的研究明显不足。文章对2000-2019年发表在英文期刊的136篇家庭旅游文献进行了系统梳理,研究发现国际学术界日益关注家庭旅游,文献数量不断增长,但研究地域主要集中在北美和欧洲等发达国家和地区。研究方法以定量研究为主,研究主题、数据获取方法呈现出多元化的趋势,研究对象聚焦儿童参与的核心家庭旅游活动。研究主要以家庭消费的计量模型、家庭角色和家庭资源/权力理论、体验理论和家庭功能理论等为基础,可归纳为消费、决策、体验和功能等4个研究视角。基于英文研究的局限,并结合中国的文化、家庭、市场和社会特征,文章提出了中国家庭旅游研究应该重点关注的4个方向:(1)中国文化价值观及其影响;(2)中国家庭角色和结构特征;(3)家庭旅游市场的供给研究;(4)积极老龄化(active aging)和社会功能。     

Token entrepreneurs: a review of gender,capital, and context in technology entrepreneurship

ABSTRACT

This article reviews the literature on gender and entrepreneurship in technology to explore individual and contextual factors maintaining the token status of women in this field. It examines how the intersection of gender and context influences participation rates in entrepreneurship, and suggests that the deeply embedded cultural and cognitive associations that frame both technology and entrepreneurship as masculine concepts create barriers for women when these contexts overlap. It offers a framework for research and practice that aids in the analysis of complex multi-level barriers that control access to the forms of capital necessary for initial and continued participation in technology entrepreneurship. Given calls for women to participate more fully in high-growth technology ventures, it highlights the need for research to incorporate broader analytical perspectives that simultaneously examine both the barriers faced by women in these contexts and the factors that systemically sustain them.     

A review of empirical research on interorganizational relations in tourism

During the last few decades, a growing body of literature has been produced on various aspects of interorganizational relations (IOR) in tourism. This paper provides a review of that literature. The findings are based on a review of 269 empirical papers published in 37 tourism journals between 1989 and the first quarter of 2017. The review identifies six main research themes relating to relationship formation, structure and activities, governance, maintenance, outcomes, and evolution. Based on the insights from this review, an organizing framework for research on IOR in tourism is developed and four opportunities for advancing research on IOR in tourism are proposed relating to the pursuit of causal inference, supply networks as a unit of analysis, quantifying outcomes of IOR in tourism, and addressing marginalized topics.     

农业农村双创工作的成效机制研究

[目的]近年来,创新创业的热潮大力兴起,如何对农民双创工作的成效机制进行研究,成为文章研究的重点。通过对农民双创工作中的创业者特征、创业者关系、政策适应与农业农村双创收益机理的研究,找出创业企业绩效演变机理。[方法]收集2017年2—5月重庆24个地区1 855位农民的调查问卷,采用专家评价法对双创收益、创业培训、创业者社会关系和创业政策适应的测量项目进行因子分析。[结果]对农民双创收益的影响因素进行分析讨论,得出学历水平、创业动机、创业风险意识、创业经营模式以及创业培训均对双创收益的提升有促进作用;创业者特征回归分析中R~2值由0.22提升为0.32,ΔR~2的值为0.34,说明自变量对因变量有预测作用;创业者特征对双创收益值为0.329,说明创业者的特征越高,其创业的绩效就越高;创业政策回归分析中R~2值由0.12增加到0.22,ΔR~2的值为0.14,说明自变量对模型有预测能力,且政策越全面有效,对农民的双创收益提升效果越好;创业者社会关系回归分析中R~2值由0.098提升为0.175,ΔR~2由0.175增长为0.433,说明创业者的社会关系越好,农民的双创收益越高。[结论]研究结果说明农业农村双创工作中创业者特征、创业者社会关系以及政策适应可提升创新创业机制的完善,提升双创收益。     

Forecast quality improvement with Action Research: A success story at PharmaCo

There is a gap in the forecasting research surrounding the theory of integrating and improving forecasting in practice. The number of academically affiliated consultancies and knowledge transfer projects that there are around, due to a need for improvements in forecast quality, would suggest that many interventions and actions are taking place. However, the problems that surround practitioner understanding, learning and usage are rarely documented. This article takes the first step toward trying to rectify this situation by using the specific case study of a fully engaged company. A successful action research intervention in the Production Planning and Control work unit improved the use and understanding of the forecast function, contributing to substantial savings, enhanced communication and improved working practices.     

Threats to the Validity of Logistics and Supply Chain Management Research

To increase the relevance of logistics and supply chain academic research, this paper recommends the development and testing of middle‐range theory and practice‐level theory. Yet, there are a number of research issues that arise when academic researchers test middle‐range and practice‐level theory, both in measuring constructs and in testing theoretical relationships between constructs. Concerning the measurement of constructs, this paper recommends that academic researchers pay more attention to content validity and undertake rigorous processes to ensure content validity. In addition, academic researchers need to more explicitly define constructs as either reflective or formative. If the construct is defined as formative, then the traditional statistical approaches to validate these measurement scales are not recommended. The appropriate use of employing single‐item measures for concrete constructs is discussed. In regard to conducting hypothesis tests, research issues associated with multicollinearity and omitted variable bias are discussed. Relative weight analysis is ideal for testing theoretical models and research hypotheses when survey data are obtained, multicollinearity is present, and there are a large number of independent variables predicting a dependent variable. Thus, relative weight analysis is ideal for testing research hypotheses in logistics and supply chain management.     

Research collaboration model in academic social networks

ABSTRACT

This paper proposes a hybrid collaboration recommendation method that accounts for research similarities and the previous research cooperation network. Research cooperation is measured by combining the collaboration time and the number of co-authors who already collaborated with at least one scientist. Research similarity is based on authors’ previous publications and academic events they attended. A weighted directed graph is built to discover new collaborators by using direct and indirect connections between scientists. Moreover, a consensus-based system is built to integrate bibliography data from different sources. The experimental results show that our method improves the recommendation performances over other methods.