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1,012 result(s) for "Organizational behavior Mathematical models."
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Mechanism design : a linear programming approach
\"Mechanism design is an analytical framework for thinking clearly and carefully about what exactly a given institution can achieve when the information necessary to make decisions is dispersed and privately held. This analysis provides an account of the underlying mathematics of mechanism design based on linear programming. Three advantages characterize the approach. The first is simplicity: arguments based on linear programming are both elementary and transparent. The second is unity: the machinery of linear programming provides a way to unify results from disparate areas of mechanism design. The third is reach: the technique offers the ability to solve problems that appear to be beyond solutions offered by traditional methods. No claim is made that the approach advocated should supplant traditional mathematical machinery. Rather, the approach represents an addition to the tools of the economic theorist who proposes to understand economic phenomena through the lens of mechanism design\"-- Provided by publisher.
Mechanism Design
Mechanism design is an analytical framework for thinking clearly and carefully about what exactly a given institution can achieve when the information necessary to make decisions is dispersed and privately held. This analysis provides an account of the underlying mathematics of mechanism design based on linear programming. Three advantages characterize the approach. The first is simplicity: arguments based on linear programming are both elementary and transparent. The second is unity: the machinery of linear programming provides a way to unify results from disparate areas of mechanism design. The third is reach: the technique offers the ability to solve problems that appear to be beyond solutions offered by traditional methods. No claim is made that the approach advocated should supplant traditional mathematical machinery. Rather, the approach represents an addition to the tools of the economic theorist who proposes to understand economic phenomena through the lens of mechanism design.
Management game theory
This book primarily addresses various game theory phenomena in the context of management practice. As such, it helps readers identify the profound game theory principles behind these phenomena. At the same time, the game theory principles in the book can also provide a degree of guidance for solving practical problems. As one of the main areas in management research, there is already an extensive body of literature on game theory. However, it remains mainly theoretical, focusing on abstract arguments and purely numerical examples purely. This book addresses that gap, helping readers apply game theory in their actual management or research work.
Mechanism design : a linear programming approach
\"Mechanism design is an analytical framework for thinking clearly and carefully about what exactly a given institution can achieve when the information necessary to make decisions is dispersed and privately held. This analysis provides an account of the underlying mathematics of mechanism design based on linear programming. Three advantages characterize the approach. The first is simplicity: arguments based on linear programming are both elementary and transparent. The second is unity: the machinery of linear programming provides a way to unify results from disparate areas of mechanism design. The third is reach: the technique offers the ability to solve problems that appear to be beyond solutions offered by traditional methods. No claim is made that the approach advocated should supplant traditional mathematical machinery. Rather, the approach represents an addition to the tools of the economic theorist who proposes to understand economic phenomena through the lens of mechanism design\"--
Organizational Decision Making: An Information Aggregation View
We study four information aggregation structures commonly used by organizations to evaluate opportunities: individual decision making, delegation to experts, majority voting, and averaging of opinions. Using a formal mathematical model, we investigate how the performance of each of these structures is contingent upon the breadth of knowledge within the firm and changes in the environment. Our model builds on work in the Carnegie tradition and in the group and behavioral decision-making literatures. We use the model to explore when delegation is preferable to other structures, such as voting and averaging. Our model shows that delegation is the most effective structure when there is diversity of expertise, when accurate delegation is possible, and when there is a good fit between the firm's knowledge and the knowledge required by the environment. Otherwise, depending on the knowledge breadth of the firm, voting or averaging may be the most effective structure. Finally, we use our model to shed light on which structures are more robust to radical environmental change and when crowd-based decision making may outperform delegation. This paper was accepted by Jesper Sørensen, organizations.
Daily job crafting and the self-efficacy – performance relationship
Purpose – The purpose of this paper is to examine whether job crafting and work enjoyment could explain the well-established relationship between self-efficacy and job performance. The authors hypothesized that employees would be most likely to engage in proactive job crafting behaviors on the days when they feel most self-efficacious. Daily job crafting, in turn, was expected to relate to daily performance through daily work enjoyment. Design/methodology/approach – A daily diary study was conducted among a heterogeneous sample of employees (N=47, days=215). Participants completed the survey on five consecutive days. Findings – The results of multilevel structural equation modeling analyses were generally in line with the hypotheses. Specifically, results indicated that employees who felt more self-efficacious on a given day were more likely to mobilize their job resources on that day. Daily job crafting, in turn, was positively correlated to work enjoyment and indirectly associated with performance. Participants reported elevated levels of performance on the days on which they enjoyed their work most. Research limitations/implications – Self-reports were used to assess all constructs, which may result in common method bias. However, within-person correlations were moderate, and a two-level CFA indicated that a one-factor model could not account for all the variance in the data. Originality/value – The findings of this study underscore the importance of daily proactive behavior for employee and organizational outcomes.
What factors influence knowledge sharing in organizations? A social dilemma perspective of social media communication
Purpose Enterprise social media platforms provide new ways of sharing knowledge and communicating within organizations to benefit from the social capital and valuable knowledge that employees have. Drawing on social dilemma and self-determination theory, the purpose of this paper is to understand what factors drive employees’ participation and what factors hamper their participation in enterprise social media. Design/methodology/approach Based on a literature review, a unified research model is derived integrating demographic, individual, organizational and technological factors that influence the motivation of employees to share knowledge. The model is tested using statistical methods on a sample of 114 respondents in Denmark. Qualitative data are used to elaborate and explain quantitative findings. Findings The findings pinpoint towards the general drivers and barriers to knowledge sharing within organizations. The significant drivers to knowledge sharing are: enjoy helping others, monetary rewards, management support, management encourages and motivates knowledge sharing behavior and knowledge sharing is recognized. The significant identified barriers are: change of behavior, lack of trust and lack of time. Practical implications The proposed knowledge sharing framework helps to understand what factors impact engagement on social media. Furthermore, the article suggests different types of interventions to overcome the social dilemma of knowledge sharing. Originality/value The study contributes to an understanding of factors leading to the success or failure of enterprise social media drawing on self-determination and social dilemma theory.
Greening organizations through leaders' influence on employees' pro-environmental behaviors
Climate change is a serious global issue that poses many risks to environmental and human systems. Although human activity is cited as the main cause of climate change and organizations significantly contribute to climate change, research that investigates workplace pro-environmental behaviors remains scarce. We develop and test a model that links environmentally-specific transformational leadership and leaders' workplace pro-environmental behaviors to employees' pro-environmental passion and behaviors. Structural equation modeling on data from 139 subordinate—leader dyads (M ages = 37.42 and 40.17 years, respectively) showed that leaders' environmental descriptive norms predicted their environmentally-specific transformational leadership and their workplace pro-environmental behaviors, both of which predicted employees' harmonious environmental passion. In turn, employees' own harmonious environmental passion and their leaders' workplace pro-environmental behaviors predicted their workplace pro-environmental behaviors. These findings show that leaders' environmental descriptive norms and the leadership and pro-environmental behaviors they enact play an important role in the greening of organizations. Conceptual and practical implications are discussed.
The role of weekly high-activated positive mood, context, and personality in innovative work behavior: A multilevel and interactional model
This article proposed and tested a multilevel and interactional model of individual innovation in which weekly moods represent a core construct between context, personality, and innovative work behavior. Adopting the circumplex model of affect, innovative work behavior is proposed as resulting from weekly positive and high-activated mood. Furthermore, drawing on the Big Five model of personality and cognitive appraisal theory, openness to experience and support for innovation are proposed as individual and contextual variables, respectively, which interplay in this process. Openness to experience interacts with support for innovation leading to high-activated positive mood. Furthermore, openness interacts with these feelings leading to greater levels of innovative work behavior. Overall, the model entails a moderated mediation process where weekly high-activated positive mood represents a crucial variable for transforming contextual and individual resources into innovative outcomes. These propositions were tested and supported using a diary methodology and multilevel structural equation modeling, on the basis of 893 observations of innovative work behavior and moods nested in 10 weekly waves of data. This information was collected from 92 individuals of diverse occupations employed in 73 distinct companies. Theoretical and practical implications are discussed.
LOCUS OF CONTROL AND JOB SEARCH STRATEGIES
Standard job search theory assumes that unemployed individuals have perfect information about the effect of their search effort on the job offer arrival rate. We present an alternative model that assumes that each individual has a subjective belief about the impact of her search effort on the job arrival. These beliefs depend in part on an individual's locus of control. We estimate the impact of locus of control on job search behavior using a data set of newly unemployed individuals in Germany. Consistent with our theoretical predictions, we find evidence that individuals with an internal locus of control search more and that individuals who believe that their future outcomes are determined by external factors have lower reservation wages.