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This paper discusses whether institutional investors change the shareholding ratio of listed companies through research meeting, and whether this active investment mode can really improve the investment efficiency of institutional investors.

Using empirical research method, this study designs and conducts an empirical research according to empirical research's basic norms. Thus, we acquire needed and credible empirical data. This study analyzes whether institutional investors seek their private interest in researched companies by analyzing their research meetings and the shareholding ratios of different types of institutional investors using Shenzhen Stock Exchange data on listed firms from 2014 to 2018.

This study finds that the research meetings of institutional investors provide participants with reliable information which supports the decision of institutional investors to change their shareholding ratio. The stock price growth rate strengthens the positive correlation between the research meetings of institutional investors and the shareholding ratio of institutional investors. Additionally, transactional institutional investors increase the shareholding ratio, while holding institutional investors do not.

This paper combines the behavior of institutional investors with the holding status of institutional investors, and discusses the impact of institutional investors' behavior on investment decisions. At the same time, it classifies the institutional investors and discusses the attitude of different types of institutional investors towards this active investment mode.

The growing number of people with multiple problems in different areas of life means that cross-domain interprofessional collaboration is becoming increasingly important. This study aims to focus on interprofessional collaboration between professionals from social work and financial and employment service organizations in The Netherlands. This type of cross-domain collaboration is still mostly superficial, and limited empirical knowledge is available about its beneficial factors.

The interprofessional collaboration model of Mulvale et al. (2016) was used as theoretical background for the research methodology and to reflect on the findings of our study. Data was collected through a qualitative study among professionals (N = 18) from social work and financial and employment service organizations in three different Dutch municipalities.

Similar team-level collaboration mechanisms of Mulvale et al.’s (2016) model were seen within this study. Joint client meetings were very beneficial for the interprofessional collaboration. Further beneficial factors include the decision-making process, team vision, client as an equal member, open communication and the appointment of a coordinator.

Further special attention is needed to determine how best to allocate co-ordinating tasks, and how organizational and policy contexts affect the functioning of interprofessional collaborative teams.

This study offers an empirical view on a cross-domain collaboration between social work and financial and employment service organizations, by using Mulvale et al.’s (2016) model. In addition, this study also offers special attention to the role of the client in interprofessional collaborative teams.

This paper aims to conceptualize the role of leadership in organizational learning processes in multinational companies (MNCs). The authors present a model describing how managers in an MNC facilitated transitions between sub-processes of organizational learning at several organizational levels.

The authors collected data from the plants of a global process company in Norway, Brazil and China. Observation, in-depth interviews and archival material enabled one to reconstruct the organizational learning process over a period of 30 years as the company developed its own tailor-made improvement programme.

Based on the data, the authors describe the role of leadership in linking the sub-processes of organizational learning as orchestration, sponsoring and persistence. Orchestration included creating faith and optimism and designing the organization to allow close cooperation between operators and managers in the sub-process of experimenting. This eased transferring and institutionalizing in the global organization. Sponsoring included structural changes to support transferring and the demonstration of dedication to improvement programme values. These factors were important for institutionalizing. Persistence involved the continuous focus on adjustment of the improvement programme, which then facilitated further experimenting.

Firstly, this study suggests that activities and decisions in one sub-process have important implications for the following sub-processes. Secondly, this study indicates that leaders’ role in facilitating the transitions between sub-processes extend beyond their individual traits and behaviour, which previous research had focused on, and includes decisions concerning organizational structure and culture that help link social and organizational learning.

The Design For Six Sigma (DFSS) methodology is one of the most important to achieving excellence in an organization’s product development process. This paper aims to propose a roadmap for product development based on the DFSS for the consumer durables manufacturing industries. The proposed roadmap presents a systematic approach to the phases of the product development process, integrating the statistical techniques and quality tools that should be used in each phase.

This study presents a detailed roadmap for product development, which was built by identifying gaps in the DFSS methods, based on previous studies on the subject. In this step, the opportunities are provided in all phases from creation to discontinuation of the product in the market. In addition, the roadmap presented was validated by team of stakeholders in the product development process of different industrial companies.

The proposed roadmap for the product development process based on six sigma design suggests a visual tool with sequential steps and techniques that allow you to follow the evolution of the development process from idea conception until the product is discontinued in the market. Identifying the priorities of organizations, especially the consumer, regarding the quality and reliability of the product.

The roadmap seeks to facilitate an understanding of the important stages of the product development process and to provide an approach to improving and optimizing the product before the manufacturing process step through the principles of DFSS methodology. This research provides a guide step by step to apply statistical techniques and quality tools in the product development process to achieve high quality and six sigma level in the manufacturing process.

The proposed roadmap of this research combines design for sigma and product development concepts, covering a wide spectrum of relevant activities that include the product development process, the application of statistical techniques and the design of high-quality durable consumer goods to match manufacturing technologies.

The purpose of this paper is to examine the relationship between virtual meeting participation and wellbeing. Based on the conservation of resources theory, we hypothesize that participation in more virtual meetings is associated with both negative and positive wellbeing indicators.

An online survey was sent to 3,530 employees across five Belgian universities in April 2020. Useful data from 814 respondents was collected and analyzed to test the hypothesized relationships.

The authors find support for their hypotheses, namely that participating in more virtual meetings is associated not only with negative wellbeing indicators (workload, stress and fatigue) but also with a positive wellbeing indicator, namely work influence.

Given the unique work-from-home context during the pandemic, the generalizability of our findings may be limited. Nevertheless, this study contributes to the literature on Meeting Science and Virtual Work, as it is the first study to empirically relate virtual meetings to wellbeing indicators, including a positive one.

As virtual meetings and work-from-home are expected to remain prevalent, understanding wellbeing implications is of high managerial importance. Their findings can be useful for (HR) managers who develop flexible work policies for a post-pandemic world.

The findings draw attention to the importance of maintaining a healthy balance between productivity and wellbeing in creating a sustainable work(-from-home) context.

The COVID-19 lockdown provided a unique opportunity to obtain insight on the relationship between virtual meetings and wellbeing at an unprecedented scale.

The ten principles of good business process management (BPM) support organizations in planning and scoping the organizations' BPM approach. Derived from literature and expert panels, the principles received much attention both in research and practice. This article develops a measurement instrument to operationalize the principles and to support organizations in measuring the degree to which they incorporate the principles in their BPM approach, that way advancing their BPM capabilities.

The authors applied the scale-development methodology, because this methodology is an established approach consisting of various techniques to develop measurement instruments. First, the authors used established techniques to develop such an instrument. Then, the authors assessed the validity and reliability of the developed instrument through a field survey with 345 participants.

The authors developed a valid and reliable measurement instrument for the ten principles of good BPM. The field survey's results reveal that the measurement instrument meets all required methodological standards. The instrument, thus, can be applied to help process owners and managers to evaluate their BPM approach and plan future actions based on potential shortcomings. Future research can both use and further develop the instrument, which serves as a conceptualization of the principles.

This study is the first to provide a measurement instrument for assessing an organizations' BPM practice against the ten principles of good BPM, which have become established as a much-considered and widely-used source of reference both in academia and practice. The authors also discuss how the instrument compares to and distinguishes from existing approaches to qualify BPM approaches, thus communicating the significance of the instrument.

Detecting O₂ gas in a confined space at room temperature is particularly important to monitor the work process of precision equipment. This study aims to propose a miniaturized, low-cost, mass-scale produced O₂ sensor operating around 30°C.

The O₂ sensor based on lanthanum fluoride (LaF₃) solid electrolyte thin film was developed using MEMS technology. The principle of the sensor was a galvanic cell H₂O, O₂, Pt | LaF₃ | Sn, SnF₂ |, in which the Sn film was prepared by magnetron sputtering, and the LaF₃ film was prepared by thermal resistance evaporation.

Through pretreatments, the sensor’s response signal to 40% oxygen concentration was enhanced from 1.9 mV to 46.0 mV at 30°C and 97.0% RH. Tests at temperatures from 30°C to 50°C and humidity from 32.4% RH to 97.0% RH indicated that the output electromotive force (EMF) has a linear relationship with the logarithm of the oxygen concentration. The sensitivity of the sensor increases with an increase in both humidity and temperature in the couple mode, and the EMF of the sensor follows well with the Nernst equation at different temperatures and humidity.

This research could be applied to monitor the oxygen concentration below 25% in confined spaces at room temperature safely without a power supply.

The relationship between temperature and humidity coupling and the response of the sensor was obtained. The nano-film material was integrated with the MEMS process. It is expected to be practically applied in the future.

As an advanced manufacturing method, additive manufacturing (AM) technology provides new possibilities for efficient production and design of parts. However, with the continuous expansion of the application of AM materials, subtractive processing has become one of the necessary steps to improve the accuracy and performance of parts. In this paper, the processing process of AM materials is discussed in depth, and the surface integrity problem caused by it is discussed.

Firstly, we listed and analyzed the characterization parameters of metal surface integrity and its influence on the performance of parts and then introduced the application of integrated processing of metal adding and subtracting materials and the influence of different processing forms on the surface integrity of parts. The surface of the trial-cut material is detected and analyzed, and the surface of the integrated processing of adding and subtracting materials is compared with that of the pure processing of reducing materials, so that the corresponding conclusions are obtained.

In this process, we also found some surface integrity problems, such as knife marks, residual stress and thermal effects. These problems may have a potential negative impact on the performance of the final parts. In processing, we can try to use other integrated processing technologies of adding and subtracting materials, try to combine various integrated processing technologies of adding and subtracting materials, or consider exploring more efficient AM technology to improve processing efficiency. We can also consider adopting production process optimization measures to reduce the processing cost of adding and subtracting materials.

With the gradual improvement of the requirements for the surface quality of parts in the production process and the in-depth implementation of sustainable manufacturing, the demand for integrated processing of metal addition and subtraction materials is likely to continue to grow in the future. By deeply understanding and studying the problems of material reduction and surface integrity of AM materials, we can better meet the challenges in the manufacturing process and improve the quality and performance of parts. This research is very important for promoting the development of manufacturing technology and achieving success in practical application.

Organisational learning plays a critical role for firms to keep abreast of a supply chain environment filled with volatility, uncertainty, complexity and ambiguity (VUCA). This study investigates the extent to which supply chain learning (SCL) affects operational resilience under such circumstances.

This study developed a research framework and underlying hypotheses based on SCL and information processing theory (IPT). An empirical test was carried out using secondary data derived from the “Supply Chain Policy” launched by the Chinese government and two large related conferences.

SCL positively relates to operational resilience, and several moderators influence the relationship between them. The authors argue that digital-technological diversity could weaken the role of SCL in operational resilience, whereas customer concentration, and participating in a pilot programme could enhance the effect of SCL.

Firms should embrace the power of SCL in building resilience in the VUCA era. Meanwhile, they should be cautious of a digital-technological diversification strategy, appraise the customer base profile and proactively engage in pilot programmes.

This research develops the SCL construct further in the context of China and empirically measures its power on operational resilience using a unique dataset. This contributes to the theorisation of SCL.

Supply chain resilience (SCR) has attracted much attention in the context of the high uncertainty caused by the coronavirus disease 2019 (COVID-19), local regional conflicts and natural disasters. Based on information processing theory (IPT), this study investigates the role of supply chain information processing capability in enhancing SCR through supply chain governance (SCG), under different conditions of environmental uncertainty.

The hypothetical model is tested by using hierarchical regression on the primary samples collected from the Chinese manufacturing industry.

The results indicate that supply chain information processing capability has a significant positive effect on SCR. Also, SCG plays a mediating role between supply chain information processing capability and SCR. Furthermore, environmental uncertainty positively moderates the effect of supply chain information acquisition and supply chain information analysis on relational governance. However, environmental uncertainty only positively moderates the effect of supply chain information analysis on contractual governance.

This is the first study to explain the effect of information processing capability on SCR from the supply chain perspective, while also exploring the mediating role of SCG between SCR and supply chain information processing capacity, based on IPT.