Behavioral Principles Research Articles

Intelligent Diagnosis of Abnormal Charging for Electric Bicycles Based on Improved Dynamic Time Warping

The widespread penetration of electric bicycles (E-bicycles) raises numerous charging safety concerns. However, online diagnosis of charging safety for E-bicycles remains challenging due to the limited data and involvement of multiple factors, such as battery, charger, charging mode, and user behavior. To overcome this difficulty and promote charging safety, this article proposes a nonintrusive charging safety intelligent diagnosis scheme on the inputted power grid side. First, more than 150 000 charging records are collected from the grid side, and various charging current patterns are formally identified according to the working principles of different batteries, charging modes, and user behaviors. Then, on the basis of longest similar substring (LSS), an improved dynamic time warping (DTW) model, referred to as LSS-DTW, is established to efficiently identify the charging current profile similarities and meanwhile restrict the overregularization of DTW. By this manner, the abnormal charging processes can be accurately identified. Experimental results reveal that the built LSS-DTW model can distinguish the unsafe charging processes online, and achieve the average identification precision, recall, and F1-score of 94%. Furthermore, the proposed algorithm can be extended to similar charging safety identifications in electric vehicles and other battery-powered systems and provides early warnings to avoid catastrophic consequences.

Characteristics of glyphosate adsorption with biochar from young coconut waste

Biochar is a carbon-rich by-product of biomass pyrolysis that can limit glyphosate mobility in soil using amelioration technology. Study of the basic principles of glyphosate adsorption behaviour in biochar from young coconut waste using the Kon-Tiki method at temperature (682°C), moisture content (81.27%), and yield ratio (20.87%) at the size of ≤2 mm. The absorption of glyphosate in biochar increased as glyphosate content rose, whereas pH declined. The capacity and adsorption coefficient of glyphosate by biochar from young coconut waste was 0.85 mg g-1 and 56.25 L Kg-1 at a pH of 8.03 and a concentration of 100 mg L-1 glyphosate. The adsorption isotherm of glyphosate occurs in the Freundlich and Langmuir models (Freundlich > Langmuir), wherein the Freundlich model (y = 1.8373x - 2.3971; R2 = 0.9771) with a value of n (0.54) and KF [0.004 (L mg-1)1/n], and the Langmuir model (y = - 17.066x + 251.58; R2 = 0.7239) with a value of Qm (0.06 mg g-1) and KL (0.07 L mg-1).

Behavioural Biases and Investment Decisions during COVID-19: An Empirical Study of Chinese Investors

Due the outbreak of the COVID-19 pandemic, China’s economy and securities market were significantly impacted, prompting the need to understand investor behaviour during this emergency. This study investigates the investment behaviour of Chinese investors during the COVID-19 pandemic, focusing on four types of investor biases: representativeness, overconfidence, disposition effect, and herding effect. The study utilized a quantitative research design, collecting data through an online questionnaire and a convenience sampling method from investors who traded in the Shanghai Stock Exchange and the Shenzhen Stock Exchange. Multiple linear regression analysis was employed to examine the impact of behavioural biases on investment decisions during the pandemic. Results showed that representativeness, disposition effect and herding effect significantly influenced investors’ investment decisions. This study contributes to the literature on behavioural finance by providing empirical evidence of the impact of behavioural biases on Chinese investors’ investment decisions during a crisis. The findings have practical implications for financial institutions to better understand the behaviour of Chinese investors during times of crisis and suggest the need for financial institutions to incorporate behavioural finance principles in their risk management practices.

Behavioral Economics and Technology Innovation: Using Choice Architecture to Build and Scale Products

Abstract With technology being a part of our everyday lives, there has never been a more critical time to dive deeper and understand what drives us to choose specific products. The effectiveness with which technology companies use behavioral economics principles, such as choice architecture, in product development can drive better outcomes both for the organisation and the customer. The use of behavioral economics has become increasingly popular in. recent years. By leveraging insights from behavioral economics, technology companies can create products that better align with users’ needs and preferences, and that are more likely to be adopted over time. This article critically reviews existing and emerging academic research, addressing three key areas: how behavioral economics appeared and its growth in the last five decades, behavioral economics in practice through the use of Choice Architecture, and how behavioral insights are currently applied in the design of technology products. In the present study, I have undertaken a review of existing literature and research studies by analysing and synthesising key points. The review was conducted by analysing and reading existing literature on the topic, including peer-reviewed journal articles, books and industry reports. Overall, this visionary paper provides a contribution to the field of technology product development, highlighting potential strategies of using behavioral economics to better design, build and scale products.

CONSTRUCTION OF CORPORATION CULTURE IN ENTERPRISE MANAGEMENT

With the continuous development of market economy, market competition is also intensifying, which puts forward higher requirements for large enterprises how to improve their core competitiveness. Enterprise traditional corporative culture refers to the gradual formation of the enterprise in the process of survival and development, which is widely recognized and consciously observed by all employees, with the enterprise's unique cultural connotation, historical and cultural tradition, moral code of conduct, core values, code of conduct and legal norms. This paper deeply studies the importance of corporate culture in modern enterprise management, and makes an in-depth analysis on the methods and approaches of corporate culture creation, aiming at providing certain references for the formation and creation of corporate culture. The article examines the essence and concept of corporate culture, examining it from various points of view, namely economic, managerial, sociological, and psychological, and defines its interpretation, outlines different approaches to its definition, and presents its own interpretation. The specifics of scientific thought in the writings of Chinese scientists have been studied. They investigated the impact of corporate culture on organizational activity and human resource management, where corporate culture is understood primarily as a set of norms, principles and traditions accepted by the organization's management and staff, expressed in values, guiding principles of behavior and actions defined by the organization's staff. It was found that most mechanisms of corporate culture are practically not used in the activities of enterprises and organizations, especially public ones. It has been proven that organizations with a strong corporate culture simultaneously have problems related to its construction and implementation. The factors that determine the need to change corporate culture at enterprises and organizations are formulated, namely, the impact of corporate culture on the performance indicators of enterprises, the quality of personnel management, which determines the need for the existence of an effective corporate culture, and this process of its creation and improvement is purposeful. It has been established that thanks to the development and renewal of the existing corporate culture, the management of the enterprise or organization can achieve the planned results both for a separate organizational unit and for the corporation as a whole.

The Correlation Between Nurse Motivation and Compliance in The Implementation of Fall Risk Prevention

<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p><em>Fall is a serious problem and requires high costs for patients and also for all wellness facilities. Morse Fall Score (MFS) was one of the assessments of risk of falls prevention efforts which was one of the principles of ability and behavior of nurses in doing work appropriate duties related to compliance implementation Standard Operating Procedures (SOP). One of the factors that influence nurse compliance in the implementation of SOP i.e. motivation and perceptions of nurse against their work. Motivation was one of the important things for someone in doing forefront where increasing motivation will lead to increased performance of nurses. This study aimed to know the correlation between the motivation of nurses and the implementation compliance of standard operating procedures of the risk of fall prevention inpatient care. This study used approach cross-sectional, non- probability sampling method that was purposive sampling. Statistical analysis used Spearman Rank tests with the significance value is 95% (α = 0.05). There was a significant correlation between the motivation of nurses with the standard operating procedures of implementation's compliance with the risk of fall prevention in the space of hospitalization with a p-value of 0.000 (p-value < 0.05). The correlations value (r) was 0.</em><em>0</em><em>42 meaning forms two variable correlations were unidirectional i.e. the higher the motivation then the standard operating procedures of the implementation's compliance with the prevention of the risk of falling was also higher. There was a significant correlation between the motivation of nurse with compliance the implementation of standard operating of the risk of fall prevention in patient room.</em><em></em></p><p><em> </em></p></td></tr></tbody></table></div><strong><em>Keywords</em><em> : Compliance, Motivation, Risk of fall, Standard Operating Procedure</em></strong>

LEGAL PROTECTION OF PUBLIC MORALITY - AXIOLOGY OF LEGAL RELATIONS AND LAW ENFORCEMENT ACTIVITIES IN UKRAINE: A MODERN COMPARATIVIST APPROACH

The purpose of the article is to study the modern comparative approach to determining the influence of the level of the legal protection of public morality on the axiological component of legal relations and law enforcement activities in Ukraine within the framework of theoretical and legal discourse. As a result of the conducted analysis, it is necessary to state that the axiology of legal relations in society in the general system of coordinates and interaction with other types of social relations is permanently permeated by the categories of social morality. At most, morality is a system of principles, and a spindle of social principles, which permeates all types of social relations without exception, is the starting point for their generally human and philosophical qualification, a marker of compliance with the needs of modernity. The article establishes that law enforcement activity is a special type of social relations, since on the one hand it interacts prominently with society, the widest circle of legal subjects, almost without exception, on the other hand, it is a narrow-profile, specialized activity of persons authorized to do so. Therefore, it was established that the law enforcement sphere is at the same time the so-called issuer, creator, and developer of moral principles, as rule narrow-branch ones, which, at the same time, clearly intersect and interact with general social principles, complementing each other, penetrating into other spheres of sectoral social relations, supplementing them, changing, transforming legal validity, etc. It was established that the level of public morality of law enforcement officers directly affects the state of compliance with public morality by civil society, and vice versa: the level of public morality of society draws a demarcation line for the system of permissible worldview and behavioral principles of law enforcement agencies. At most, it seems quite obvious that one of the most effective means of acceptance by law enforcement agencies of values, principles, ideas, and norms of public morality is the maximum integration of law enforcement agencies into the social, human plane, their immersion in the urgent needs of society, its requests, the spirit of the law as much as possible, to which it aspires. At the same time, the so-called "humanization" of law enforcement agencies is, on the one hand, a demand of society for the law enforcement system and, at the same time, a guarantee of the protection of public morality, because only humanized law enforcement agencies are able to ensure and guarantee the specified process.

“Teaching” of Vladimir Monomakh as Synthesis of Ethical Traditions Byzantine Patristics and National Paganism

The research is devoted to the ethical views of Vladimir Monomakh, reflected in the “Teaching” of the Grand Duke. The author’s reflections concerning such fundamental moral categories as good and evil, virtue and vice, the meaning of life and death, free will, duty, happiness are considered and analyzed. A partial continuity of the Grand Duke’s views concerning the relationship to the categories of good and evil, as well as virtue and vice, with the Byzantine Christian tradition, in particular with regard to the “theory of three small deeds”, which is based on the theory of repentance of John Chrysostom, and the theory of “asceticism in the world”, based on the writings of Basil the Great. It is revealed that the ethical views of the Grand Duke do not fit into the strict paradigm of Christian medieval philosophy and theology. In this regard, the author of the article draws attention to the syncretic nature of the worldview of the author of the “Teaching”, expressed in a kind of worldview combining Christian and pre-Christian beliefs. In this vein, the specific understanding of the problems of the meaning of life, death, happiness by Vladimir Monomakh is analyzed, which is revealed when considering the peculiar attitude of the author of the “Teaching” to the sacred rites of prayer and burial. The author’s views on the category of duty in the universal and state terms, as well as the principles of practical behavior, are studied. According to the results of the research, the author of the article comes to the conclusion that the work of the Grand Duke is an ethical “micro-treatise”, the ideological content of which fully reflects the moral concept of the existence of the ancient Rus-sian man.

Understanding Users' Experiences of a Novel Web-Based Cognitive Behavioral Therapy Platform for Depression and Anxiety: Qualitative Interviews From Pilot Trial Participants.

Digital mental health interventions (DMHIs) can help bridge the gap between the demand for mental health care and availability of treatment resources. The affordances of DMHIs have been proposed to overcome barriers to care such as accessibility, cost, and stigma. Despite these proposals, most evaluations of the DMHI focus on clinical effectiveness, with less consideration of users' perspectives and experiences. We conducted a pilot randomized controlled trial of "Overcoming Thoughts," a web-based platform that uses cognitive and behavioral principles to address depression and anxiety. The "Overcoming Thoughts" platform included 2 brief interventions-cognitive restructuring and behavioral experimentation. Users accessed either a version that included asynchronous interactions with other users ("crowdsourced" platform) or a completely self-guided version (control condition). We aimed to understand the users' perspectives and experiences by conducting a subset of interviews during the follow-up period of the trial. We used purposive sampling to select a subset of trial participants based on group assignment (treatment and control) and symptom improvement (those who improved and those who did not on primary outcomes). We conducted semistructured interviews with 23 participants during the follow-up period that addressed acceptability, usability, and impact. We conducted a thematic analysis of the interviews until saturation was reached. A total of 8 major themes were identified: possible opportunities to expand the platform; improvements in mental health because of using the platform; increased self-reflection skills; platform being more helpful for certain situations or domains; implementation of skills into users' lives, even without direct platform use; increased coping skills because of using the platform; repetitiveness of platform exercises; and use pattern. Although no differences in themes were found among groups based on improvement status (all P values >.05, ranging from .12 to .86), there were 4 themes that differed based on conditions (P values from .01 to .046): helpfulness of self-reflection supported by an exercise summary (greater in control); aiding in slowing thoughts and feeling calmer (greater in control); overcoming patterns of avoidance (greater in control); and repetitiveness of content (greater in the intervention). We identified the different benefits that users perceived from a novel DMHI and opportunities to improve the platform. Interestingly, we did not note any differences in themes between those who improved and those who did not, but we did find some differences between those who received the control and intervention versions of the platform. Future research should continue to investigate users' experiences with DMHIs to better understand the complex dynamics of their use and outcomes.

Behavioral optimization in Scientific Publishing

Peer reviewed scientific publishing is critical for communicating important findings, interpretations and theories in any branch of science. While the value of peer review is rarely doubted, much concern is being raised about the possible biases in the process. I argue here that most of the biases originate in the evolved innate tendency of every player to optimize one’s own cost benefits. Different players in the scientific publishing game have different cost-benefit optima. There are multiple conflicts between individual optima and collective goals. An analysis of the cost-benefit optima of every player in the scientific publishing game shows how and why biases originate. By continuing with the current publishing trend, the global distribution of the scientific community would be increasingly clustered. Publication biases by gender, ethnicity, reputation, conformation and conformity will be increasingly common and revolutionary concepts increasingly difficult to publish. For a better future of science, it is necessary to design a publication system based on principles of human behaviour rather than on some ideological assumptions. If a system is designed in such a way that the conflicts between individual optima and collective goal are minimized, if everyone cares only for his/her personal benefits, biases would get minimized automatically and the progress towards the collective goal would be faster and smoother. Changing towards such a system might prove difficult unless a critical mass of authors take an active role to revolutionize scientific publishing.

Mechanical design, manufacture and automation: Research progress and fusion ant colony algorithm-based optimization

ABSTRACT Mechanical automation plays a pivotal role in modern engineering and manufacturing, offering a wide array of benefits. By applying algorithms to automate mechanical systems, industries can capitalize on advantages such as error reduction, increased efficiency, and enhanced production quality. Among the various algorithms used in mechanical automation, the fusion ant colony algorithm stands out as a particularly effective approach that has demonstrated promising results. The fusion ant colony algorithm draws inspiration from the collective behavior of ants and focuses on identifying the shortest path between two points. This algorithm, when applied to mechanical systems, empowers engineers to optimize numerous processes and elevate the overall performance of the system. Furthermore, the fusion ant colony algorithm possesses the potential to enhance the intelligence of mechanical systems. By incorporating artificial intelligence and machine learning techniques, this algorithm enables machines to learn and adapt to dynamic environments, thereby improving their efficiency and productivity. In summary, the fusion ant colony algorithm stands as a powerful tool for automating mechanical systems. Through the utilization of collective behavior principles and optimization, this algorithm significantly enhances the performance and intelligence of machines. The outcomes include improved efficiency, productivity, and quality within the realms of mechanical engineering and manufacturing. By embracing the fusion ant colony algorithm, industries can unlock the full potential of mechanical automation and achieve remarkable progress in their operations.

Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit

Most heating, ventilation, and air-conditioning (HVAC) systems operate with one or more faults that result in increased energy consumption and that could lead to system failure over time. Today, most building owners are performing reactive maintenance only and may be less concerned or less able to assess the health of the system until catastrophic failure occurs. This is mainly because the building owners do not previously have good tools to detect and diagnose these faults, determine their impact, and act on findings. Commercially available fault detection and diagnostics (FDD) tools have been developed to address this issue and have the potential to reduce equipment downtime, energy costs, maintenance costs, and improve occupant comfort and system reliability. However, many of these tools require an in-depth knowledge of system behavior and thermodynamic principles to interpret the results. In this paper, supervised and semi-supervised machine learning (ML) approaches are applied to datasets collected from an operating system in the field to develop new FDD methods and to help building owners see the value proposition of performing proactive maintenance. The study data was collected from one packaged rooftop unit (RTU) HVAC system running under normal operating conditions at an industrial facility in Connecticut. This paper compares three different approaches for fault classification for a real-time operating RTU using semi-supervised learning, achieving accuracies as high as 95.7% using few-shot learning.

Behavioral optimization in Scientific Publishing

Peer reviewed scientific publishing is critical for communicating important findings, interpretations and theories in any branch of science. While the value of peer review is rarely doubted, much concern is being raised about the possible biases in the process. I argue here that most of the biases originate in the evolved innate tendency of every player to optimize one’s own cost benefits. Different players in the scientific publishing game have different cost-benefit optima. There are multiple conflicts between individual optima and collective goals. An analysis of the cost-benefit optima of every player in the scientific publishing game shows how and why biases originate. By continuing with the current publishing trend, the global distribution of the scientific community would be increasingly clustered. Publication biases by gender, ethnicity, reputation, conformation and conformity will be increasingly common and revolutionary concepts increasingly difficult to publish. For a better future of science, it is necessary to design a publication system based on principles of human behaviour rather than on some ideological assumptions. If a system is designed in such a way that the conflicts between individual optima and collective goal are minimized, if everyone cares only for his/her personal benefits, biases would get minimized automatically and the progress towards the collective goal would be faster and smoother. Changing towards such a system might prove difficult unless a critical mass of authors take an active role to revolutionize scientific publishing.

A comparison of paired- and multiple-stimulus-without-replacement preference assessments to identify reinforcers for dog behavior.

Dogs may be relinquished to shelters and are unlikely to be adopted if they engage in problem behavior. A successful way to eliminate problem behavior is through training techniques based on behavioral principles. Obedience training with the use of positive reinforcement has been successful in treating problematic behavior by dogs. In order for this method to work, it is essential that the stimuli selected function as reinforcers. Preference assessments can be used to identify these potential reinforcers. A preference assessment is a systematic method used to identify stimuli that may serve as possible reinforcers by yielding preference hierarchies. Although preference and reinforcer assessments have been successfully used with humans, research with nonhuman animals is limited. Therefore, the purpose of the study was to compare the efficacy and efficiency of paired-stimulus preference assessment with a multiple-stimulus preference assessment. The results suggested that the results of both preference assessments corresponded with reinforcer assessments but that the paired-stimulus method was the most efficient.

Behavioral optimization in Scientific Publishing

Peer reviewed scientific publishing is critical for communicating important findings, interpretations and theories in any branch of science. While the value of peer review is rarely doubted, much concern is being raised about the possible biases in the process. We argue here that most of the biases originate in the evolved innate tendency of every player to optimize one’s own cost benefits. Different players in the scientific publishing game have different cost-benefit optima. There are multiple conflicts between individual optima and collective goals. An analysis of the cost-benefit optima of every player in the scientific publishing game shows how and why biases originate. By continuing with the current publishing structure, the global distribution of the scientific community would be increasingly clustered. Publication biases by gender, ethnicity, reputation, conformation and conformity will be increasingly common and revolutionary concepts increasingly difficult to publish. For a better future of science, it is necessary to design a publication system based on principles of human behaviour rather than on some ideological assumptions. If a system is designed in such a way that the conflicts between individual optima and collective goal are minimized, if everyone cares only for his/her personal benefits, biases would get minimized automatically and the progress towards the collective goal would be faster and smoother. Changing towards such a system might prove difficult unless a critical mass of authors take an active role to revolutionize scientific publishing.

How do governmental wage subsidies enhance SME resilience in the COVID-19 pandemic?

PurposeCoronavirus disease 2019 (COVID-19) has had a tremendous negative effect on the economies around the world by infusing uncertainty into supply chains. In this paper, the authors address two important research questions (RQs): (1) did COVID-19 wage subsidies impact small and medium enterprises (SMEs) to become more flexible towards the SMEs' business customers and (2) can such flexibility be a source for greater resilience to the crisis? As a result, the authors investigate the relationship between governmental wage subsidies and SMEs' flexibility norms towards the SMEs' business customers (study 1). The authors further uncover when and how flexibility towards existing customers contributes to SME resilience (study 2).Design/methodology/approachThe authors frame the inquiry under the resource dependence theory (RDT) and behavioural additionality principle. The authors use survey methodology and test the assumptions in study 1 (n = 225) and study 2 (n = 95) on a sample of SMEs from various business-to-business (B2B) industries in Croatia.FindingsOverall, in study 1, the authors find that SMEs that receive governmental wage subsidies have greater flexibility norms. However, this relationship is significantly conditioned by SMEs' competitive profile. SMEs that strongly rely on innovation are more willing to behave flexibly when receiving subsidies, whereas SMEs driven by branding do not. Study 2 sheds light on when flexibility towards existing customers increases SME resilience. Findings show that flexibility norms are negatively related to resilience, but this relationship is becoming less negative amongst SMEs with lower financial dependence on the largest customer.Originality/valueThis study extends RDT in the area of firm–government relationships by showing that wage subsidies became a source of power for the Government and a source of dependency for SMEs. In such cases, the SMEs receiving those subsidies align with the governmental agenda and exhibit higher flexibility towards the SMEs' customers. Drawing arguments from behavioural additionality, the authors show that this effect varies due to SMEs' attention and organisational priorities resulting from different competitive profiles. Ultimately, the authors showcase that higher flexibility norms can contribute to resilience if the SME restructures its dependency by having a less-concentrated customer base.

Promoting self-determination of persons with severe or profound intellectual disabilities: a systematic review and meta-analysis.

People with severe or profound intellectual disabilities (IDs) are believed to experience low levels of self-determination, which negatively affects their quality of life. This systematic review describes existing interventions aimed to support self-determination or components thereof and synthesises evidence on the interventions' effects. Eight databases were searched, turning in 76 articles for the final inclusion. The studies included 631 people with severe or profound IDs of whom 81% had multiple disabilities. The studies had quantitative (k=63), qualitative (k=7) and mixed study designs (k=6). Sample sizes ranged from 1 to 95 and a study quality index ranged from 40% to 100%. While many studies included several self-determination components and intervention elements, overall, 53 studies focused on the self-determination components choice making, independence and problem solving. Other studies included increased assistance (k=14); engagement in meaningful activities and relationships (k=10); community and societal participation (k=5); supporting the basic psychological needs autonomy, competence and relatedness (k=4); individuality and dignity (k=3); supportive decision-making (k=2); self-advocacy (k=2); and motivation (k=1). Intervention elements included technology (k=33); multiple-component training packages, goal setting, empowerment tactics and applied behaviour principles (k=17); training of caretakers (k=17); changes in policies and living arrangements (k=9); supporter responsiveness (k=1); drama therapy and storytelling (k=1); electrical wheelchair training (k=1); joint painting procedure (k=1); youth advocacy project (k=1); and multiliteracies training (k=1). Reflecting the heterogeneity of the field, only four studies tested a similar intervention for this population and were eligible for the meta-analysis, which combined showed a small effect size of 2.69. Further research is needed to explore relationships between individuals with severe or profound IDs and their relatives and health care professionals and create supportive environments that meet their basic psychological needs.

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ПР стратегията като принцип на поведение и линия на доверие

Abstract: Digital society and social dynamics and the influence of crisis factors require more serious and pragmatic focus on fundamental human principles, of which trust is a part. This paper aims to provide a basic study and analysis of trust and its role in relationship effectiveness. The hypothesis is that in the component structure of a PR strategy, trust should occupy a leading line as a condition for successfully building and maintaining relationships between organizations, their stakeholders and society at large. The Edelman Trust Barometer special reports for the last years (2020, 2021, 2022 and 2023) and Edelman Data & Intelligence reports have been analysed, i.e. a period of four years has been covered and the analysis is based on expert research. The methods used are desk research and content analysis of documents; they are combined with empirical and theoretical analysis and a deductive approach. The findings are related to the identification of discourse features on PR strategy and behavioural principles. Keywords: trust, PR strategy, responsibility, strategic communication, relationship.

An examination of behavioral movement and its relevance in public administration: issues and prospects

The behavioral approach to public administration owes its genesis to the Human Relations Movement of the 1930s. The movement started off as a protest to the traditional approaches to public administration that focused on organizations, institutionalization, rules, and code of conducts etc. with absolutely no mention of people who are the center of all these activities. The pioneering work done by Taylor and the emergence of Scientific Management created quite a stir not just in the industrial sector but also in management and study of public administration. The proponents of the Behavioral Public Administration (BPA) movement call for a greater use of theories in psychology and experimental research designs to improve rigour of public administration (PA) research. Limitations inherent in traditional orientations of analyzing administrative phenomena are reasons behind the search for new paradigms aimed at increasing epistemic knowledge when analyzing administrative issues in the 21st Century. Against the existing institutionalists, pluralists and elitists’ approaches, contemporary thinkers have adopted the behaviouralist approach which has capacity to increase the empirical status of knowledge in contemporary administrative analysis. Using secondary sources like textbooks, scholarly journals, unpublished texts, the paper critically evaluates most of the criticisms levied against the behavioural approach with the view to identifying the edge which the behavioural approach offers contemporary analysts in public administration. The paper revealed that despite these criticisms, not all the examples of the approach are flawed. Behaviouralism has brought with it, new concepts, sophisticated tools of analysis and mathematical models which tend to make us all behaviouralists. It is our recommendation in this paper that behavioural principles in public administration should be upheld among researcher within the discipline of public administration.