• Title/Summary/Keyword: Adaptive behavior

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Effects of Emotional Regulation Processes on Adaptive Selling Behavior and Sales Performance

  • Kim, Joonhwan;Lee, Sungho;Shin, Dongwoo;Song, Ji-Hee
    • Asia Marketing Journal
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    • v.16 no.1
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    • pp.71-100
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    • 2014
  • While the role of emotional antecedents of effective selling behavior would be important, the issue has not been fully addressed in the sales literature. To fill this gap, we conceptualize and empirically examine the relationships among salesperson's emotional regulation processes such as emotional intelligence (EI) and emotional labor (EL), effective selling behavior, and sales performance on the basis of educational, occupational, social psychology literature and marketing literature (e.g., Henning-Thurau, Groth, Paul, and Gremler 2006; Kidwell et al. 2011; Liu et al. 2008; Mayer, Salovey, and Caruso 2008). First, salesperson's EI is defined as his or her capability that enables correct perceptions about emotional situations in sales interactions. The EI is expected to work as psychological resources for different types of EL (i.e., deep acting and surface acting) to be performed by salesperson as emotional expression strategies (e.g., Lie et al. 2008). It is, then, expected that the features of EL selected by the salesperson would lead to different levels of adaptive selling behavior (ASB) and thereby sales performance (Monaghan 2006). Further, given that salesperson's customer orientation (CO) is found to be an important correlate of ASB (Franke and Park 2006), it is expected that CO would moderate the relationship between EL and ASB (Rozell, Pettijohn, and Parker 2004). Hence, this research attempts to shed additional light on emotionally-driven (EL) as well as cognitively-driven (CO) antecedents of ASB (Frank and Park 2006). The findings of the survey research, done with 336 salespersons in insurance and financial companies, are summarized as follows. First, salespersons with a high level of EI are found to use both deep acting (regulating the emotions themselves) and surface acting (controlling only emotional expressions) in a versatile way, when implementing EL. Second, the more the salesperson performs deep acting, the more he or she shows ASB. It is, then, important for salespersons to use deep acting more frequently in the EL process in order to enhance the quality of interacting with customers through ASB. On the other hand, the salesperson's surface acting did not have a significant relationship with ASB. Moreover, CO was found to moderate the relationship between the salesperson's deep acting and ASB. That is, the context of high CO culture and individual salesperson's deep acting would synergistically make the selling efforts adaptive to customer preferences. Conceptualizing and empirically verifying the antecedent roles of important emotional constructs such as EI and EL in salesperson's effective selling behavior (ASB) and sales performance is a major theoretical contribution in the sales literature. Managerially, this research provides a deeper understanding on the nature of tasks performed by salespersons in service industries and a few guidelines for managing the sales force. First, sales organizations had better consciously assess EI capacity in the selection and nurturing processes of salespersons, given that EI can efficiently drive EL and the resulting effective selling behavior and performance. Further, the concept of EL could provide a framework to understand the salespersons' emotional experiences in depth. Especially, sales organizations may well think over how to develop deep acting capabilities of their sales representatives. In this direction, the training on deep acting strategies would be an essential task for improving effective selling behavior and performance of salespersons. This kind of training had better incorporate the perspectives of customers such that many customers can actually discern whether salespersons are doing either surface acting or deep acting. Finally, based on the synergistic effects of deep acting and CO culture, how to build and sustain CO is always an ever-important task in sales organizations. While the prior sales literature has emphasized the process and structure of highly customer-oriented sales organization, our research not only corroborates the important aspects of customer-oriented sales organization, but also adds the important dimension of competent sales representatives who can resonate with customers by deep acting for sales excellence.

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Study on Analysis of Education Accreditation Programs and Engineering Writing Education based on the Complex Adaptive System (복잡적응계에 근거한 공학교육인증 프로그램 분석과 공학적 글쓰기 교육 방안 연구)

  • Kim, Cha-Jong;Kim, Jong-Hwa;Kim, Hae-Kyoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.4
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    • pp.843-852
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    • 2012
  • We analyzed the relationship based on the complex system between engineering writing in accreditation program and engineering education accreditation system and studied an effective engineering writing education system for engineering education in this paper. By introducing accreditation system, the engineering education system keeps continuously an emergent behavior and builds the new system. In this point of view, this research proposed an situated learning system and introduction of writing portfolio. As a result, we ascertain this proposed way makes up writing skill of students. We think this discussion will be a chance to explore a new writing education system in engineering education.

Convergence of the Filtered-x LMS Algorithm for Canceling Multiple Sinusoidal Acoustic Noise (복수정현파 소음제거를 위한 Filtered-x LMS 알고리듬의 수렴 특성에 관한 연구)

  • Lee, Kang-Seung;Lee, jae-Chon;Youn, Dae-Hee;Kang, Young-Suk
    • The Journal of the Acoustical Society of Korea
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    • v.14 no.2
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    • pp.40-49
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    • 1995
  • Application of the filtered-x LMS adaptive filter to active noise cancellation requires to estimate the transfer charactersitics between the output and the error signal of the adaptive canceler. In this paper, we derive the filtered-x adaptive noise cancellation algorithm and analyze its convergence behavior when the acoustic noise consists of multiple sinusoids. The results of the convergence analysis of the filtered-x LMS algorithm indicate that the effects of the parameter estimation inaccuracy on the convergence behavior of the algorithm are characterized by two distinct components : Phase estimation error and estimated gain. In particular, the convergence is shown to strongly affected by the accuracy of the phase response estimate. Simulation results are presented to support the theoretical convergence analysis.

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An adaptive delay compensation method based on a discrete system model for real-time hybrid simulation

  • Wang, Zhen;Xu, Guoshan;Li, Qiang;Wu, Bin
    • Smart Structures and Systems
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    • v.25 no.5
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    • pp.569-580
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    • 2020
  • The identification of delays and delay compensation are critical problems in real-time hybrid simulations (RTHS). Conventional delay compensation methods are mostly based on the assumption of a constant delay. However, the system delay may vary during tests owing to the nonlinearity of the loading system and/or the behavioral variations of the specimen. To address this issue, this study presents an adaptive delay compensation method based on a discrete model of the loading system. In particular, the parameters of this discrete model are identified and updated online with the least-squares method to represent a servo hydraulic loading system. Furthermore, based on this model, the system delays are compensated for by generating system commands using the desired displacements, achieved displacements, and previous displacement commands. This method is more general than the existing compensation methods because it can predict commands based on multiple displacement categories. Moreover, this method is straightforward and suitable for implementation on digital signal processing boards because it relies solely on the displacements rather than on velocity and/or acceleration data. The virtual and real RTHS results show that the studied method exhibits satisfactory estimation smoothness and compensation accuracy. Furthermore, considering the measurement noise, the low-order parameter models of this method are more favorable than that the high-order parameter models.

Seismic Performance Evaluation of Building Structures Based on the Adaptive Lateral Load Distribution (적응적 횡하중 분배방법을 이용한 건축구조물의 내진성능평가)

  • 이동근;최원호;정명채
    • Journal of the Earthquake Engineering Society of Korea
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    • v.8 no.1
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    • pp.39-58
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    • 2004
  • It is very important that predict the inelastic seismic behavior exactly for seismic performance evaluation of a building in the performance based seismic design. Evaluation method of seismic performance based on the pushover analysis reflected in PBSE was developed by some researchers. For the evaluation of inelastic global and local seismic responses by pushover analysis exactly. lateral load distribution should be adjusted and reflected the dynamic characteristics of structural system and various seismic ground motions. And performance point should be determined based on the evaluation of reasonable deformation capacity of a building more exactly. An effective method based on the improved the adaptive lateral load distribution and the equivalent responses of a multistory building is proposed in this study to efficiently estimate the accurate inelastic seismic responses. The proposed method can be used to evaluate the seismic performance for the global inelastic behavior of a building and to accurately estimate its local inelastic seismic responses. In order to demonstrate the accuracy and validity of this method, inelastic seismic responses estimated by the proposed method are compared with those obtained from other analytical methods.

Development of Statistical/Probabilistic-Based Adaptive Thresholding Algorithm for Monitoring the Safety of the Structure (구조물의 안전성 모니터링을 위한 통계/확률기반 적응형 임계치 설정 알고리즘 개발)

  • Kim, Tae-Heon;Park, Ki-Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.20 no.4
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    • pp.1-8
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    • 2016
  • Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring(SHM) technique is ever-increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and are influenced by various external loads. Generally, the visual inspection and non-destructive test for an accessible point of structures are performed by experts. But nowadays, the system is required which is online measurement and detect risk elements automatically without blind spots on structures. In this study, in order to consider the response of non-linear structures, proposed a signal feature extraction and the adaptive threshold setting algorithm utilized to determine the abnormal behavior by using statistical methods such as control chart, root mean square deviation, generalized extremely distribution. And the performance of that was validated by using the acceleration response of structures during earthquakes measuring system of forced vibration tests and actual operation.

A novel adaptive unscented Kalman Filter with forgetting factor for the identification of the time-variant structural parameters

  • Yanzhe Zhang ;Yong Ding ;Jianqing Bu;Lina Guo
    • Smart Structures and Systems
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    • v.32 no.1
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    • pp.9-21
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    • 2023
  • The parameters of civil engineering structures have time-variant characteristics during their service. When extremely large external excitations, such as earthquake excitation to buildings or overweight vehicles to bridges, apply to structures, sudden or gradual damage may be caused. It is crucially necessary to detect the occurrence time and severity of the damage. The unscented Kalman filter (UKF), as one efficient estimator, is usually used to conduct the recursive identification of parameters. However, the conventional UKF algorithm has a weak tracking ability for time-variant structural parameters. To improve the identification ability of time-variant parameters, an adaptive UKF with forgetting factor (AUKF-FF) algorithm, in which the state covariance, innovation covariance and cross covariance are updated simultaneously with the help of the forgetting factor, is proposed. To verify the effectiveness of the method, this paper conducted two case studies as follows: the identification of time-variant parameters of a simply supported bridge when the vehicle passing, and the model updating of a six-story concrete frame structure with field test during the Yangbi earthquake excitation in Yunnan Province, China. The comparison results of the numerical studies show that the proposed method is superior to the conventional UKF algorithm for the time-variant parameter identification in convergence speed, accuracy and adaptability to the sampling frequency. The field test studies demonstrate that the proposed method can provide suggestions for solving practical problems.

University Students' Smartphone Addiction Propensities according to Self-efficacy and Leisure-related Variables (대학생의 자기효능감 및 여가관련변수에 따른 스마트폰 중독성향)

  • Ryu, Mihyun
    • Journal of Families and Better Life
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    • v.32 no.1
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    • pp.63-79
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    • 2014
  • Recently, in our society, the use of smartphones has been widespread and changed our lives positively; however, the excessive use of smartphones has also produced many side effects. In particular, we can see that the reckless use of smartphones has constantly increased smartphone addiction propensities. University students, too, show smartphone addiction propensities more and more gradually; therefore this study intends to perform research related with smartphone addiction propensities with university students as the subjects. Since it is more and more important to perform leisure activities to prevent smartphone addiction and reduce addiction propensities, it can be said that the research on the correlation between leisure activities and smartphone addiction propensities is significant. The major findings of the research are as follows: First, among the smartphone addiction propensities, their tolerance and disturbance of adaptive function were relatively higher than other factors. Second, overall smartphone addiction affects the variables of gender (male), school year (freshmen), economic leisure constraints, time leisure constraints, and the adequacy of travel behavior, sports behavior, media use behavior, reading behavior, volunteer work and religious behavior. The adequacy of the media use behavior variables showed the greatest impact.

A Study on the Effect of Learning Activities and Feedback Seeking Behavior toward the End Users' Faithful Appropriation of Information Security System (조직내 최종사용자의 합목적적인 정보보호 시스템 사용 내재화와 학습, 피드백 추구 행동 연구)

  • Kim, Min Woong;Cheong, Ki Ju
    • The Journal of Information Systems
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    • v.25 no.3
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    • pp.117-146
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    • 2016
  • Purpose The purpose of this paper is to examine factors and mechanism inducing end users' faithful appropriation of information security behavior through the information security system. This study is also trying to find out the role of Employees' adaptive activities like learning and feedback seeking behavior for the information security in organizations. Design/methodology/approach An empirical study was carried out with a sample of employees working in the financial service company. Employees(n = 268) completed a written questionnaire. Structural equation modeling was used to analyze the data. Findings Results indicated that employees' learning activities and feedback seeking behavior fully mediated the effect of major information security factors toward end users' faithfulness of appropriation of information security systems. In order to increase the level of employees information security behavior in accordance with security guideline, organizations should facilitate interactions that support the feedback seeking process between employees on information security awareness and behavior. Additionally, organizations may reinforce these behaviors by periodical training and adopting bounty hunter systems.