A. Main Factors of Attraction 1. Physical attraction We would like to believe that beauty is only skin deep, and therefore, a trivial determinant of liking. Indeed, when asked what they looked for in a potential date, most people put physical attractiveness at the bottom of their list. Elaine Hatfield randomly matched incoming students at the University of Minnesota for a blind date. The students previously had been given a battery of personality tests. Intelligence, masculinity, femininity, dominance, submission, dependence, independence, sensitivity and sincerity had little effect on liking. The one determinant of whether or not a couple liked each other and actually repeated their date was their physical attractiveness.

http://www.airitifile.com/al/15603822/5358/15603822-200004-x-48-39-46-a.pdf

從人際吸引(interpersonal attraction)的觀點談體育課中師生的互動

Emotional contagion — emotions being linked across people — has captured psychologists’ attention yet little is known about its mechanisms. Early influential treatments focused on primitive mimicry. Later accounts emphasized (a) social comparison, whereby people compare their feelings with compatriots’, (b) emotional interpretation, where others’ expressive displays serve as information, and (c) empathy, or imagining another person’s feelings. This paper introduces affective process theory (APT), which unifies these mechanisms and identifies others. Using a rule-governed theoretical process, APT reveals 10 distinct mechanisms that connect people’s affective states, which fall into three types. Convergent linkage occurs when individuals share the same vantage point and interpretations of emotionally evocative stimuli. Divergent linkage occurs with a shared vantage point but different interpretations. Complementary linkage occurs when the other person is itself the stimulus. APT integrates past findings on moderating factors such as social closeness and cooperation. Implications for practice and future research are discussed.

The Many Faces of Emotional Contagion: An Affective Process Theory of Affective Linkage

This review examines supply chain risk publications across nine prestigious management, operations, and supply chain journals with respect to exploring trends and emerging topics. Using a refined set of keywords, we extract and filter the most relevant supply chain risk management (SCRM) articles from Scopus between 2001 and 2019. Unlike previous reviews of the SCRM literature, our methodology utilizes both bibliometric and co-citation analyses of publications in selective management and operations and supply chain management journals. In addition to analyzing the current state of the SCRM literature via bibliometric analysis, we delve deeply into the clusters of literature informing SCRM studies through a co-citation analysis. By conducting a text analysis on these clusters, we identify the main themes and provide insights regarding article relevance, theoretical frameworks, and methodologies for each cluster. In addition, we categorize the themes within each cluster into three main groups of Matured, Developing, and Emerging. Based on the identified Emerging categories, we provide detailed discussions on the promising avenues for research and practice in three main areas of Sustainable SCRM, Behavioral SCRM, and nascent methodologies and theories in SCRM studies. Finally, we dedicate a section in our review to discussing the direction of SCRM research during and after the COVID-19 era. This article is protected by copyright. All rights reserved.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/deci.12470

A Review of the Existing and Emerging Topics in the Supply Chain Risk Management Literature

https://onlinelibrary.wiley.com/doi/epdf/10.1111/jbl.12238

Blockchain Applications in Supply Chain Transactions

Current concept, development, and testing applications in production concerning Cyber-Physical Systems (CPS), Industry 4.0 (I40), and Internet of Things (IoT) are mainly addressing fully autonomous systems, fostered by an increase in available technologies regarding distributed decision-making, sensors, and actuators for robotics systems. This is applied also to production logistics settings with a multitude of transport tasks, e.g., between warehousing or material supply stations and production locations within larger production sites as for example in the automotive industry. In most cases, mixed environments where automated systems and humans collaborate (e.g., cobots) are not in the center of analysis and development endeavors although the worker’s adoption and acceptance of new technologies are of crucial relevance. From an interdisciplinary research perspective, this constitutes an important research gap, as the future challenges for successful automated systems will rely mainly on human-computer interaction (HCI) in connection with an efficient collaboration between motivated workers, automated robotics, and transportation systems. We develop a HCI efficiency description in production logistics based on an interdisciplinary analysis consisting of three interdependent parts: (i) a production logistics literature review and process study, (ii) a computer science literature review and simulation study for an existing autonomous traffic control algorithm applicable to production logistics settings with the specific inclusion of human actors, and (iii) a work science analysis for automation settings referring to theoretical foundations and empirical findings regarding the management of workers in digital work settings. We conclude with practical implications and discuss avenues for future research and business applications.

/pdf/production-logistics-and-human-computer-interaction-state-of-297grug5f7.pdf

Production logistics and human-computer interaction—state-of-the-art, challenges and requirements for the future

Individual modes and patterns of rational and intuitive decision-making by purchasing managers

Affective diversity and emotional intelligence in cross-functional sourcing teams

Studies in the psychology and management disciplines suggest that intuition might be able to complement rationality as an effective decision-making approach. Yet, a review of how decision makers in supply chain contexts can benefit from using their intuition demonstrates that our discipline lacks a unifying conceptualization and operationalization of the complex intuition construct. Our study addresses this opportunity by following an extensive mixed-method approach, in which we first use qualitative content analysis and quantitative testing to conceptualize intuition as a multidimensional construct consisting of experience-based, emotional, and automatic-processing dimensions. We then operationalize and empirically assess multidimensionality using a multiple study format, and perform an inferential analysis to begin to assess nomological validity. Our reconceptualization of intuition allows for a richer understanding of this key facet of supply chain management decision making, and our accompanying scale provides evidence of its multidimensionality and efficacy in making decisions in the uncertain and time-constrained environments that supply chain managers often face.

Claudia M. Wagner

Papers

Individual modes and patterns of rational and intuitive decision-making by purchasing managers

Affective diversity and emotional intelligence in cross-functional sourcing teams

Reconceptualizing Intuition in Supply Chain Management