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At ISEF'89 we spoke about our work concerning two dimensional (2D) modelling of magnetic heads. Starting with the magnetostatic transmission problem for a magnetic domain with finite permeability ? we derived an integral formulation for the scalar potential which was treated using the Boundary Element Method (BEM). By discretising the boundary only, one can get the potential and the magnetic field in each point of the plane. Further calculations yield the efficiency and the response of the head. These investigations resulted in our system BEA86 which can be used on a PC interactively for designing integrated magnetic heads. Next step was to realise the method described above in the 3D case. But of course this was not possible on a PC. Even on a Micro VAX it took more than one hour to solve a head problem including field and efficiency calculation with our system BOASPM. So our idea was to simulate the 3D‐behaviour of a magnetic head in a more simple way (see Fig. 1 to compare the three models).

For robots to more actively interact with the surrounding environment in object manipulation tasks or walking, they must understand the physical attributes of objects and surface materials they encounter. Dynamic tactile sensing can effectively capture rich information about material properties. Hence, methods that convey and interpret this tactile information to the user can improve the quality of human–machine interaction. This paper aims to propose a visual-tactile cross-modal retrieval framework to convey tactile information of surface material for perceptual estimation.

The tactile information of a new unknown surface material can be used to retrieve perceptually similar surface from an available surface visual sample set by associating tactile information to visual information of material surfaces. For the proposed framework, the authors propose an online low-rank similarity learning method, which can effectively and efficiently capture the cross-modal relative similarity between visual and tactile modalities.

Experimental results conducted on the Technischen Universität München Haptic Texture Database demonstrate the effectiveness of the proposed framework and the method.

This paper provides a visual-tactile cross-modal perception method for recognizing material surface. By the method, a robot can communicate and interpret the conveyed information about the surface material properties to the user; it will further improve the quality of robot interaction.

The purpose of this paper is to explore whether job rotation strategies and joint reward systems are equally effective in encouraging cross-functional collaboration (CFC) under all organizational contexts, ranging from young and small firms to mature and large ones.

To ensure a wide applicability of findings in this study, the research model and hypotheses were tested with a sample of 232 Canadian firms active in a variety of industrial sectors. A survey instrument that comprised all the questionnaire items corresponding to the examined constructs is the foundation of the data used in this contribution.

This study shows that job rotation and joint rewards are strong and positive drivers of interdepartmental collaboration, which subsequently enhance firm performance. However, this illustration must be considered in the context of the firm shaped by its size and age because these two variables strongly and negatively moderate the relationships between CFC and its two antecedents.

The study was limited to Canadian firms only. The manufacturing sector was not differentiated into subsectors, such as technology. Future studies could compare subsectors of manufacturing to see if there is any correlation between types of industries, age, and size.

Not all firms will be able to take advantage of the widely accepted values of job rotation and joint reward systems in generating CFC. Firms, to an extent, appear to be confronted with the liability of aging but not with the liability of smallness.

Coopetition is ubiquitous in the economy, but managing effectively this type of relationship between firms remains a challenge for many organizations. This paper investigates the coopetition within corporate groups and focus on factors that determine the simultaneous competition and cooperation between subsidiaries therein.

Drawing on a dataset of 121 corporate groups listed on the Warsaw Stock Exchange (WSE), this paper theoretically advances and empirically validates the impact of 18 factors which determine the coopetition relationship.

This study's findings confirm the importance of an organizational design among external and internal drivers of intrafirm coopetition. However, the role of an environmental uncertainty as a driver of intrafirm coopetition is not proven. Furthermore, the paper finds that internal determinants explain the phenomenon of coopetition between subsidiaries within a corporate group more than determinants related to the environment.

The paper contributes to the coopetition theory by empirical identification of drivers of intrafirm coopetition and advances the corporate groups studies by exploring internal relationships (cooperation and competition) and the determinants therein.

This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.

Although coopetition has been studied for decades, most prior studies shed light on interfirm coopetition across firms instead of intrafirm coopetition across functional departments within a firm. To fill the research gaps, this study aims to investigate the differential effects of cross-functional coopetition on both product and service innovations and the moderating roles of environmental turbulence.

This study surveyed both senior and middle managers from 149 pharmaceutical firms in China.

This study discovers the opposite relationships of cross-functional coopetition on product and service innovations such that cross-functional coopetition enhances product innovation but hurts service innovation. Furthermore, market turbulence attenuates the positive effect on product innovation but strengthens the negative effect on service innovation. However, technological turbulence attenuates the negative impact of cross-functional coopetition on service innovation.

The effects of cross-functional coopetition have been ignored in the innovation literature. By identifying the double-edged sword of cross-functional coopetition, this study contributes to the literature by providing new insights into the differential effects of cross-functional coopetition on product and service innovations.

Today, amid a global pandemic, the world is changing rapidly. This bought a sense of urgency to adopt this change for the sustainability of both individual and corporate existence. The name given to the future world on the brink of this change and transformation is VUCA (Volatility, Uncertainty, Complexity and Ambiguity). COVID-19 pandemic exposed leadership teams to novel challenges that required many changes to their practices. This has been the most volatile, uncertain, complex, and ambiguous (VUCA) times in healthcare. VUCA software technologies that connect different geographies of the world over the Internet have provided institutions with standardization, harmonization, and acceleration. Understanding the VUCA world, adapting to it, focusing on the opportunities rather than the challenges it brings are the basis of sustainability. In order to increase or maintain the level of development of the countries, it is possible with the health institutions to provide a quality service and the development of standardization based on the VUCA approach. This global pandemic has clearly affected healthcare systems and workers throughout the world, with many worse affected than others. This chapter aimed to give information about the importance of why health managers should provide services based on the VUCA approach.

Innovation has been identified as a critical element to achieve firms' growth. The purpose of this study is to investigate the impact of chief executive officer (CEO) passion on firm innovation, including exploratory and exploitative innovation and examine the moderating roles of market and technological turbulence.

This study adopts the methodology of survey and uses multisource and time-lagged data of 146 firms in China. Seemingly unrelated regression (SUR) is used to test the hypotheses of this study.

This study finds that CEO passion promotes exploratory and exploitative innovation. Results also indicate that market turbulence strengthens the effect of CEO passion on exploratory and exploitative innovation, whereas technological turbulence weakens such an effect.

CEO passion is an important, positive affect which inspires CEOs to work for firms, but it has not yet received enough attention in the innovation literature. This study contributes to examining the impact of CEO passion on firm innovation and contributes to the contingency under which CEO passion influences firm innovation. Furthermore, this research finds that the moderating effects of market and technological turbulence are different in the relationship between CEO passion and firm innovation.

This research is one of the first studies to examine the effects of CSR disclosures on a firm’s decision to purchase back their own shares of stocks. Additionally, the authors examine whether the effect of CSR disclosures is stronger than the effect of CSR performance on the decision to repurchase shares. Examining firms in the United States, the authors find that total CSR disclosures and the CSR disclosures related to the dimensions of social, environmental, and governance are significantly and positively related to the number of shares that a firm buys back. Additionally, the authors find that the effects of CSR disclosures are stronger for total and the CSR dimensions of social and governance than for CSR performance. For the environmental dimension of CSR, both disclosure and performance scores are significant. This research expands our understanding of the impact of CSR disclosure by showing the importance it plays in the decision to buy back stock and implies that firms that repurchase their stock are more socially responsive than firms that do not. Finally, it contributes to the growing literature on how CSR disclosure has a different impact than CSR performance on firm decisions and outcomes.