Allocation Theory Research Articles

Moderation of Self-Regulatory Efficacy between Leader-Member Exchange and Procedural Justice on Workplace Deviance Behavior at Perum BULOG West Java Region

This study analyzes whether self-regulatory efficacy moderates the correlation between leader-member exchange and procedural justice on workplace deviance behavior. Based on resource allocation theory and cognitive social theory, this study examines the effects of self-regulatory efficacy of leader-member exchange and procedural justice on the deviant behavior of 155 employees at Perum BULOG, West Java Region. Researchers did not find a significant correlation between leader-member exchange and workplace deviance behavior. Similarly, the results show that procedural justice does not correlate with workplace deviance behavior. The researchers also did not find that self-regulatory efficacy could moderate the correlation between leader-member exchange and workplace deviance behavior. However, self-regulatory efficacy can moderate the correlation between procedural justice and workplace deviance behavior. Data collection in this study used a questionnaire distributed by google form. Data analysis in this study used Structural Equation Modeling (SEM) with the WarpPLS approach.

Why the Shaw-Mohler equation works and when it doesn't.

Fitness gain curves were introduced into the framework of the Shaw-Mohler equation, the foundation of sex allocation theory. I return to the Shaw-Mohler equation to consider how it embodies the rare-sex advantage underlying frequency-dependent selection on the sex ratio. The Shaw-Mohler formulation is based on the numbers of males and females randomly mating in a panmictic population. Gain curves are meant to describe reproductive success through male and female functions in hermaphrodites and have been inserted in place of male and female numbers in the Shaw-Mohler equation. In doing so, gain curves bypass consideration of the implicit mating process in the Shaw-Mohler argument and can lead to anomalies like unequal total male and female fitness in a population. If gain curves truly represent fitness gain, equality of total male and female fitness requires a constant sex allocation of equal resource investment into male and female functions. The blurring of input with fitness outcome has led to misinterpretation of what gain curves mean in reproductive ecology. They can describe a particular reproductive ecology, such as diminishing fitness returns on resource investment, but lack causal efficacy with respect to sex allocation.

Sublethal heat reduces overall reproductive investment and male allocation in a simultaneously hermaphroditic snail species.

The exposure to sublethally high temperature reduces reproductive performance in diverse organisms. Although this effect has been particularly emphasized for males or male reproductive functioning, it remains largely unknown whether the effect of heat on fertility is sex-specific. Here we examined the impact of sublethally high temperature on male and female functions in a simultaneously hermaphroditic snail species, Lymnaea stagnalis. Examining hermaphrodites is useful to evaluate the sex-specific impacts of heat exposure, since they possess male and female functions within a single individual, sharing genetic and environmental factors. Moreover, previously developed sex allocation theory allows us to compare the differential performance of sex functions. In this study, we exposed snails to 20°C (control), 24°C and 28°C for 14 days and assessed their egg and sperm production, sperm transfer, mating behaviour and growth. Both types of gamete production were significantly reduced by higher temperature, leading to an overall reduction of reproductive investment. By quantifying sex allocation, we furthermore revealed that the heat-stressed snails reduced the relative investment in their male function. This study illustrates that examining simultaneous hermaphrodites can provide significant insights for the impact of heat, and the proximate mechanism, on reproduction in diverse organisms.

The Effect of Income and Wealth on Behavioral Strategies, Personality Traits, and Preferences.

Individuals living in either harsh or favorable environments display well-documented psychological and behavioral differences. For example, people in favorable environments tend to be more future-oriented, trust strangers more, and have more explorative preferences. To account for such differences, psychologists have turned to evolutionary biology and behavioral ecology, in particular, the literature on life-history theory and pace-of-life syndrome. However, critics have found that the theoretical foundations of these approaches are fragile and that differences in life expectancy cannot explain vast psychological and behavioral differences. In this article, we build on the theory of optimal resource allocation to propose an alternative framework. We hypothesize that the quantity of resources available, such as income, has downstream consequences on psychological traits, leading to the emergence of behavioral syndromes. We show that more resources lead to more long-term orientation, more tolerance of variance, and more investment in low marginal-benefit needs. At the behavioral level, this translates, among others, into more large-scale cooperation, more investment in health, and more exploration. These individual-level differences in behavior, in turn, account for cultural phenomena such as puritanism, authoritarianism, and innovation.

Introduction and Applications of the Investment Clock Theory

This paper is based on the broad asset allocation theory proposed by Merrill Lynch & Co. known as the ''Merrill Lynch Investment Clock Theory.'' Further asset allocation optimisation and decision making on the Merrill Lynch Investment Clock Theory, starting with forecasting recessions and inflation, combined with yield curve term spreads and risk premiums. Further, according to the literature, it is found that the term spread, and risk premium indices have good prediction results for recession. But simply considering these is not enough, need to introduce term spreads and risk premiums into the traditional Merrill Lynch investment clock theory to reassemble the financial investment clock portfolio, the principle is to change the traditional division of the economic cycle.

Expatriate managers' personal financial insecurity indirectly thwarts team innovation: The role of state learning goal orientation

AbstractThis paper studies the downstream effect of expatriate managers' personal financial insecurity on team innovation. Building on resource allocation theory, we propose a moderated serial mediation model. Using four‐wave, multi‐source survey data from 99 R&D expatriate teams within large technology companies in emerging markets, we find that expatriate managers' personal financial insecurity is negatively related to team innovation first through a lower level of state learning goal orientation in the last month, and subsequently through a lower level of intellectual stimulation behavior. The negative effect of expatriate managers' personal financial insecurity on state learning goal orientation is weakened when professional identification is higher (vs. lower). Theoretical and practical implications are discussed.

Research on fire early warning index system of coal mine goaf based on multi-parameter fusion

In order to improve the precision of goaf fire early warning outcomes, this paper obtains the temperature characteristic index of goaf fire early warning by using a coal spontaneous combustion thermogravimetric test and a coal spontaneous combustion programmed heating test. The major gas index and auxiliary gas index for early warning are derived using the integration of the Graham coefficient and grey correlation approach. The D-S evidence theory, which involves optimizing weight allocation, is utilized to integrate the early warning temperature index and various gas indexes. Based on the fusion results, a coal mine goaf fire early warning index system is developed through multi-parameter fusion. The early warning index system is then validated through a programmed heating experiment. The results show that the process of coal spontaneous combustion can be categorized into six distinct stages: latent stage, oxidation stage, critical stage, pyrolysis stage, fission stage, and combustion stage. These stages are determined by the characteristic temperatures of coal spontaneous combustion, which are 31.7 °C, 54.8 °C, 153.7 °C, 204.5 °C, and 241.6 °C. The major gas index for early warning of goaf fires can be determined by 100∆(CO)/∆O2(%). Additionally, auxiliary gas indexes such as C3H8/CH4, C3H8/C2H6, C2H4/C2H6, and C2H2 can be used for goaf fire early warning. The programmed heating experiment shows that the early warning system software is designed by the multi-parameter fusion goaf fire early warning index system is accurate and effective. The selection of the goaf fire early warning index is more rational and precise when using the multi-parameter fusion goaf fire early warning index system based on the D-S evidence theory of weight allocation. It offers robust support for enhancing the goaf fire early warning index system and predicting coal mine goaf fires.

Conspicuous leisure, time allocation, and obesity Kuznets curves

Abstract Our growth model explores the complex relationship between income, obesity, and changes in exercise-related behavior. Combining Becker’s theory of time allocation (The Economic Journal 75(299), 493–517, 1965) with Veblen’s theory of conspicuous leisure (The Theory of the Leisure Class, 1st ed. New York: Macmillan, 1899), we determine conditions for dynamic and static obesity Kuznets curves. Considering food consumption and exercise choices, we show that dynamic and static Kuznets curves result from the rising opportunity cost of exercise and peer influence, both increasing with income. Focusing on calorie expenditure, we investigate the rise and slowdown in obesity prevalence in the USA and the correlation between obesity and income per worker. Our numerical simulations indicate that, as the economy grows, exercise choices slow down the rise in obesity prevalence but do not generate a dynamic Kuznets curve in the USA. By contrast, they generate a static Kuznets curve for a population cross section. We discuss policy implications of our findings.

New human capital theory from the perspective of time allocation: Evolution and prospects

In the modern economic system, where the service sector has significantly increased in importance, the accumulation of human capital no longer relies solely on traditional factors such as education, training and healthcare, but increasingly depends on informal education, particularly learning activities during leisure time. Driven by the amalgamation of personality economics and neuroeconomics, a novel theory of human capital has surfaced, which emphasizes the acquisition of cognitive and noncognitive abilities through informal learning activities such as hobbies and social engagements. Utilizing the time allocation theory as a foundation, this study investigates the role of leisure time in bolstering human capital. The paper spotlights the ‘Learning by Doing’ and ‘Learning by Playing’ phenomena, which are instrumental in enhancing practical abilities and creativity. The study offers a critical examination of how human capital theory has evolved, particularly regarding the influence of leisure on skill development. This study also highlights the crucial importance of learning during leisure as a contributing factor to economic growth and positions it as a vital pathway for future human capital accumulation. Moreover, it proposes new avenues of research to deepen the understanding of human capital and leisure economy theories, thereby providing valuable perspectives for the progress of society and the economy.

A general approach analyzing transient dynamics in plant biomass allocation patterns

Allometric biomass allocation theory and optimal partitioning theory are the most important theoretical frameworks for explaining and predicting plant biomass allocation patterns. But their focus on equilibrium conditions does not advance our understanding of transient allocation patterns. To address this limitation, we develop a heuristic approach with a quantitative metric to theoretically analyze transient patterns of plant allocation of photosynthetic products to different plant organs. The approach is also used to ask how various factors can drive transient patterns. A case study is analyzed, showing how periodic perturbations of transient patterns of plant leaf and stem biomass can decrease or increase in response to plant height, crown diameter, and projected crown area. The predictions are consistent with global data on forest plants. The approach here addresses the limitations of optimal partitioning theory by revealing the variation in plant photosynthetic partitioning over short time scales. Given the central role of plant biomass allocation patterns for both empirical and theoretical studies, there is a large scope for applying this approach to improve estimations of carbon stock, and stabilized yields in forest management.

An integrated zero-sum game and data envelopment analysis model for efficiency analysis and regional carbon emission allocation

As the global economic environment changes, the concept of green and sustainable development has become the international community’s consensus. As a participant in the worldwide emission reduction plan, China is also under great pressure to reduce carbon emissions. As an example, this study constructs an optimal scheme for regional carbon emission allowance allocation in Hunan Province, China. We first forecast the total carbon emissions in 2030 for each city, state, and major industry in Hunan Province through a scenario and then innovatively use the mass function allocation theory in marketing to sort out the logical ideas of the optimization model. More importantly, we combine the zero-sum game theory to build the zero-sum game-data envelopment analysis model to continuously reallocate the carbon emission allowances of each city and state and major industries in Hunan Province until the optimal allocation scheme is reached. From the perspective of each city and state, the initial carbon emission efficiency level of fourteen cities in Hunan is high, but there are still some differences. From the perspective of industries, the initial efficiency of carbon emission of six major industries in Hunan is lower, and the difference in efficiency values is evident.

A neutral theory of plant carbon allocation.

How plants use the carbon they gain from photosynthesis remains a key area of study among plant ecologists. Although numerous theories have been presented throughout the years, the field lacks a clear null model. To fill this gap, I have developed the first null model, or neutral theory, of plant carbon allocation using probability theory, plant biochemistry and graph theory at the level of a leaf. Neutral theories have been used to establish a null hypothesis in molecular evolution and community assembly to describe how much of an ecological phenomenon can be described by chance alone. Here, the aim of a neutral theory of plant carbon allocation is to ask: how is carbon partitioned between sinks if one assumes plants do not prioritize certain sinks over others? Using the biochemical network of plant carbon metabolism, I show that, if allocation was strictly random, carbon is more likely to be allocated to storage, defense, respiration and finally growth. This 'neutral hierarchy' suggests that a sink's biochemical distance from photosynthesis plays an important role in carbon allocation patterns, highlighting the potentially adaptive role of this biochemical network for plant survival in variable environments. A brief simulation underscores that our ability to measure the carbon allocation from photosynthesis to a given sink is unreliable due to simple probabilistic rules. While neutral theory may not explain all patterns of carbon allocation, its utility is in the minimal assumptions and role as a null model against which future data should be tested.

Denmark: portfolio allocation in the government and parliament in the sphere of foreign policy

The growing number of coalition governments in European states, many of which are minority governments, raises questions about how they form and function. The case of Denmark, where such governments have long become a part of political everyday life, helps to identify the main specific features of foreign policy portfolio allocation in the cabinet and the Danish parliament, since the Kingdom is one of the most successful examples of cooperation between the government and parliament in the field of foreign policy and defence. The article analyses the mechanisms and factors for the foreign policy portfolio allocation in 2001-2023, taking into account successive "blue" and "red" party blocs. Various theories of coalition formation and portfolio allocation in coalition governments are used to explain the distinguishing features of such allocation at a particular historical stage. In addition, general features of the development of the Danish political system at the present stage, the main trends and prospects for this development are considered. The authors conclude that when allocating portfolios in the government, preference is given to "junior" coalition partners, while in parliament - to "senior" ones; the opinion of the Danish People's Party is taken into account by coalition partners without the Party’s inclusion in the government; the choice is given in favour of popular and authoritative politicians constituting the foreign policy elite of Denmark over the past three decades; the functioning of the Foreign Policy Committee provides some kind of balance of power in the Danish Parliament on foreign and defence policy. It is also found out that the strategies for coalition formation and foreign policy portfolio allocation do not significantly differ between the "blue" and "red" party blocs, but follow the same logic aimed at maintaining the stability of the minority government’s position.

It’s about time (management)!: Role overload as a bridge explaining relationships between helping, voice, and objective sales performance

Although organizations benefit from employees’ discretionary behaviors such as organizational citizenship behavior (OCB), there are personal costs associated with these behaviors. These can include work-related strains that lead to negative job performance consequences. We develop and test a conceptual model to explain why these negative consequences emerge, and among which employees they may be most likely. Building from the implications of resource allocation theory, we frame role overload (i.e., insufficient time to complete work tasks) as a mediator of the indirect relationships between discretionary behaviors and downstream objective sales performance, and time management skill as a moderator of this indirect relationship. In a lagged, multi-source field study of 302 sales employees, and 74 supervisors, we find that time management skill can offset experienced role overload associated with helping and voice behaviors. These results speak to the critical role of resource allocation competence for predicting downstream objective sales performance consequences associated with discretionary behaviors like helping and voice. We discuss theoretical and practical implications of our results.

Diameter explains transient allocation of non-photosynthetic organs in trees

A central issue in plant ecology is exploring universal rules and the mechanisms under which photosynthetic energies are allocated to different organ parts. Until recently, prevalent studies focused on testing either optimal allocation theory or allometric allocation theory in predicting plant biomass partitioning patterns. However, paying much attention to the stable state prevents the development of new biomass allocation theories in transient time scales. Here, based on theories in transients and the allometric relationships in plant traits, I develop general theoretical models to study the transient perturbations of plant biomass allocated to non-photosynthetic organ parts. With both simulation and empirical approaches, I investigate the effect of plant stem diameter at breast height (DBH) on the variation of biomass allocation patterns during plant ontogeny. Results show that increases in DBH can mitigate the magnitude of the perturbations of plant biomass and biomass fractions allocated to both plant stem and root parts. The findings are robust when either deterministic or stochastic models are conducted. Moreover, empirical analyses from a large forest database in Eurasia consistently support the predictions from the theoretical frameworks. In this paper, I draw attention to the transient allocation pattern of plant biomass for non-photosynthetic organs, and I find the significant role of DBH. This work has important implications in both theoretical breakthroughs and practical applications. It not only provides the foundation to test new biomass allocation hypotheses but also directs agricultural and forest management to achieve stabilized yields.

A Contingency Framework for the Performance Consequences of Team Boundary Management: A Meta-Analysis of 30 Years of Research

Research suggests that teams can greatly enhance their performance through boundary management, which comprises activities that establish, maintain, and regulate linkages with the surrounding environment. However, such performance gains do not materialize equally in all instances, and some teams struggle to benefit from boundary management. Integrating insights from social network and team-level resource allocation theories, we develop a contingency framework that considers the internal organization of a team's boundary management (i.e., the carrier, target, and type of such activities) as a key moderating factor that accounts for the varying effects. To test this framework, we use a meta-analytic approach that synthesizes >30 years of empirical research (i.e., 85 primary studies covering 10,848 teams). Our results show a positive main effect of team boundary management on team performance. Crucially, these performance benefits are more pronounced when the target of boundary management is extraorganizational rather than inside the home organization and when the type of boundary management activities is boundary spanning (e.g., coordination, representation, or information search) rather than boundary strengthening (e.g., buffering, guarding, or sentry activities). Moreover, boundary management is more effective when executed by formal team leaders rather than team members, and our results tentatively suggest that this may reflect differences in effectiveness between leaders and members in boundary strengthening, rather than boundary spanning. Overall, our findings advance theory on team boundary management by clarifying previously ambiguous findings and illustrating how teams can design their boundary management activities to be most effective.

Optimal city carbon emissions in China from a theoretical perspective

Cities are the main spaces to study a low-carbon economy. This paper introduces basic concepts covering “tolerance of planning carbon emissions,” “inevitable carbon emissions” and “excessive carbon emissions,” then discusses the problem with optimal city carbon emissions under the condition of tolerance. Theoretical analysis and scenario analysis were employed. First, according to optimal allocation theory of resources, we discuss how optimal society carbon emissions take place. Then, the deviation of optimal city carbon emissions was explored and analyzed, which was mostly caused by the missing price of carbon emissions allowance, excessive carbon emissions, and so on. Third, we analyzed optimal city carbon emissions under different conditions, in which different types of tolerance were included. Results show that theoretical investigations on optimal city carbon emissions provide relative ideas for determining control index and optimizing control countermeasures. Policy implications include improving the control index of city carbon emissions through environment enhancement, setting a reasonable control index of city carbon emissions under the consideration of the relationship between city economy and its environment, and establishing trading allowance and compensation mechanism of city carbon emissions, etc.

A Land Use Planning Literature Review: Literature Path, Planning Contexts, Optimization Methods, and Bibliometric Methods

Land use planning studies are accumulating in unprecedented quantities, and have created a wide space for an extensive summary, the synthesis of fundamental developments, a sharpening of the focus of future study issues, and the dissemination of concise information among the academic community and the policy making environment. Nonetheless, the publication rate and content coverage of land use planning literature reviews have been relatively low. This study aims to contribute to the field by first assessing the effectiveness of the bibliometric method as a literature study method. It then summarizes the developments in the land use planning literature in general path building process, the planning context, and the development of methods. The study findings highlight that the bibliometric method tends to reward information carriage papers rather than original contributors. More than 85% of the time, published articles are cited for general information rather than their core research contribution, suggesting the incomprehensiveness of the bibliometric method in studying real knowledge development. In terms of the land use planning context, significant gaps are observed, particularly in urban land use, including the detachment of the general goal-oriented objective formulations from basic land use allocation theories and conceptual models. A serious concern also arises that the formulations of certain urban land use optimization objectives appear to contradict the original concept of a sustainable city. To address these gaps, this paper suggests several key research frontiers, including linking the basic land use allocation and utility theories to land use optimization, and a need to shift current urban land use planning/optimization approaches from spatial optimization, which changes land uses to meet flow resources, towards optimizing the flow of resources to fit the resilient nature of existing spatial configurations and physical establishments in the built environment. Additionally, evaluating the existing built environment for optimality should be prioritized rather than solely focusing on new developments. In terms of method development, the study suggests that advancing current loosely coupled methods into more integrated systems may be a promising frontier. In general, the paper strongly suggests the possible reiteration of the land use planning study landscape to make sustainable development discourse more concrete and to make the method development stage involve more integrated systems. Immediate research interventions may be the standardizing of land use planning studies through the development of protocols and standard benchmark problems.

How much situation awareness does the driver have when driving autonomously? A study based on driver attention allocation

During the operation of the L3 automated driving system, since there is no need to supervise the vehicle at all times, the driver is often disengaged from the driving task and engages in a variety of non-driving-related tasks (NDRTs). When the autonomous driving system (ADS) encounters an unexpected situation and issues a takeover request (TOR), whether the driver can recover the situation awareness (SA) in time is the key to ensure the safety of the takeover. In this study, the theory of attention resource allocation is introduced to more accurately model the dynamic process of the SA recovery. Moreover, the attention allocation model is further developed, and the affecting factors of attention allocation are quantified. An experiment with 90 participants using driving simulator was conducted for different road scenarios to verify the proposed SA model. The model proposed in this study can accurately predict the SA value of the driver under different road scenarios and the time required for the driver to recover to the maximum SA value, which provides a reference for the scientific design of dynamic takeover lead time. The results also show that as the radius of curvature of the road decreased, the level of SA recovery would become progressively worse.

Market Efficiency in the UK Emerging Financial Markets

The UK financial market system is huge, more clearly divided and more functional. Under the impact of the world financial innovation trend and the increasing competition in the international financial market, the UK financial market has made quite bold financial innovations. The internationalization trend of the UK's emerging financial market, capital market and London foreign exchange market are all strengthening. The efficiency of financial markets has a significant impact on the effective functioning of financial markets and thus on the efficiency of real economic operations. Market efficiency is influenced by a variety of factors. This paper examines market efficiency in detail from the perspectives of resource allocation theory, incomplete information theory, institutional economics theory and behavioral economics theory, and concludes that market efficiency is the result of a combination of factors such as resource allocation, and information, economic behavior. According to the efficient market hypothesis, investment decisions are largely determined by market efficiency. However, even the most developed financial markets in the world today are hardly guaranteed to conform to the perfect competition hypothesis. In summary, the study of market efficiency issues has far-reaching practical implications for the UK emerging financial markets in the transition period.