Past,present, and future of green product innovation

Firms are under constant pressure from various governmental and nongovernmental agencies to switch from conventional environmentally polluting products to green product innovations (GPIs). However, the relevant research pertaining to GPI has been published in a diverse set of journals that vary in their scope and readership and, therefore, the scholarly contribution to the topic remains largely fragmented. This study has utilised a systematic literature review approach to examine the literary corpus on GPI to paint a holistic picture of its different aspects. The content and thematic analysis of 85 studies resulted in the extraction of seven key research themes: organisational capabilities, organisational learning, institutional pressures, barriers, structural changes, benefits of GPI, and methodological choices. This study's findings further highlight the various gaps in the GPI literature and raise some research questions that warrant scholarly investigation in the future. Likewise, our study has important implications for practitioners who are likely to benefit from a holistic understanding of the different aspects of GPI. Similarly, policymakers can use this study's findings to introduce policy interventions, especially in countries where GPI adoption is low.     

Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

The double-edged sword of purpose-driven behavior in sustainable venturing

This paper examines the relationship between purpose and purposeful organizing and how such arrangements influence the entrepreneurial journey as sustainable ventures move from idea to markets. We leverage an iterative multi-stage process-tracing design to understand the mechanisms whereby 14 different B Corp certified organizations embed purpose before, during and after the certification process. Our analyses reveal three types of venture paths for purpose-driven entrepreneurs, which are shaped by distinct imprinting sequences with three critical sensitive windows playing a pivotal role: the definition of scope of purpose, timing of purpose formalization through B Corp Certification and shifts in the source of feedback. Different imprinters occurring within the critical sensitive windows shape particular imprinting sequences triggering situations of both productive and counterproductive path development. Our results challenge the assumed linear relationship between purpose and purposeful organizing and more specifically the belief that seeking (purposeful) B Corp certification at firm foundation is necessarily productive for society and for the ventures themselves regardless of when the certification is achieved.     

Up- and down- alliances: A systematic literature review

This paper develops a systematic literature review about up- and down- alliances: vertical alliances (VAs) characterized by long term continuity between firms operating in adjacent stages of a value chain. Vertical alliances are a must for firms operating in a complex and unstable world, because they guarantee the advantages deriving from the vertical coordination of the value chain as well as the flexibility of cooperation.In spite of the copious literature on alliances, few contributions focus specifically on VAs, so a clear overview of the phenomenon is missing. Furthermore, the different terminology and definitions found in the literature are confusing. Our systematic literature review identifies the theoretical approaches which are most used to study the development, potential and dynamics of VAs. The review highlights the main theories and the most explored topics, and identifies the gaps still existing in the literature. From the review, we developed a taxonomy to determine which research stream would be most congruent to a specific research topic.     

The future of the chef occupation and the food and beverage sector after the COVID-19 outbreak: Opinions of Turkish chefs

The aim of the present study is to reveal the opinions of the chefs who working as a manager in the kitchen department within the food and beverage sector about what changes might have occurred in their occupation and food and beverage sector after the COVID-19 outbreak. The data were collected through online interview forms and content analysis was used as a data analysis method. The findings reveal three main categories: general opinions after the COVID-19 outbreak, changes that could occur in the food and beverage sector after COVID-19 outbreak, and thoughts for the future of the chef occupation after the COVID-19 outbreak. Since this paper is the first to reveal the opinions of the chefs about what changes might have occurred in their occupation and food and beverage sector after the COVID-19 outbreak, and no similar study could be found in the existing literature, these findings are original.     

Exploring the use of content analysis methodology in consumer research

Content analysis is a viable way to thematise consumer experiences. The purpose of this review study is to examine the use of content analysis in consumer research (1977–2017). The authors explore how content analysis has been used. The reviewed studies address consumer experiences. The results show that qualitative content analysis is not used as a method in its own right; it is more often applied as a supplement to quantitative testing. There is also a lack of rigorous reporting of methodologies in many studies. The systematic review provides four propositions, content analysis studies: 1) vary in execution and reporting; 2) have a tendency towards methodological vagueness; 3) do not apply content analysis as a sole method; 4) are versatile. The study can also serve as point of departure for novice researchers wishing to engage with content analysis research. We suggest that further research is needed to explore the use of qualitative methodologies in consumer research.     

中国自然保护地规划的回顾与对比研究

中国自然保护地历经60余年的发展，形成了多部门主导、保护类型多样的自然保护地体系。面对机构改革和以国家公园为主体的自然保护地体系建立的契机，传统规划的经验积累为新规划体系的构建提供了借鉴的可能。通过回溯机构改革前各类自然保护地规划，对比分析其规划结构体系，并从人地关系视角切入，分析各类规划针对保护对象、保护利用强度,以及社会发展调控上的差异，总结各类自然保护地规划的既有经验，为新时期规划体系的重构提供支撑。     

昆明市工程招投标监管的探索与发展研究

针对工程招标投标领域存在的突出问题,昆明市近几年在工程招标投标监管方面进行了许多新的探索.从昆明市招标投标监管机构设置、标前监管、标中监管、标后监管4个角度对昆明市工程招标投标监管现状进行分析,并对工程招标投标监管领域的一些新趋势进行探讨,提出强化招标投标监管的建议.新技术为招标投标监管提供了新工具,需要进一步探索新技术在招标投标监管领域的应用.     

无人机遥感系统的研究进展与应用前景

对于无人机遥感来说,融合了无人机技术与遥感技术。在无人机遥感技术应用的过程中,涵盖了诸多不同类型的先进技术,比如,无人机驾驶飞行技术、通讯技术、遥感传感器技术等,存在着显著的智能化、自动化等不同方面的特征,能够迅速得到相关资源,并且系统掌握国土、环境等不同方面的信息,然后加以实时化处理,通过建模与科学分析,能够制定出无人机遥感技术运用的具体策略,凸显出其良好的功效。本文针对无人机遥感系统的研究进展进行了详细地分析,同时说明了无人机遥感系统的应用前景,进而对有关研究人员形成一定的启发。     

Optimal capacity and operation design of a robot logistics system for the hotel industry

This study introduces an optimal capacity and operation design of a robot logistics system that can reduce human workload in the hotel industry. In hotels, there are several duties that can be replaced by robots such as accompanying guests to the certain areas, delivering specific items to the guest rooms, and transporting some items that guests want to be removed from the guest rooms. To apply the robot logistics system in the hotel industry, the capacity and operation design should be prepared adequately. For that, a mathematical model-based optimization technique is used to decide the number of robots with the concept of minimizing total investment cost and to derive the optimal job assigning with the purpose of maximizing total covered jobs. In addition, a numerical example is performed to validate the proposed mathematical model and the sensitivity tests are examined to reflect the random features.