Prior Theory Research Articles

Understanding police decisions to arrest: The impact of situational, officer, and neighborhood characteristics on police discretion

PurposePromote the use of multilevel modeling to refine theories of police discretion. Specifically, examine the simultaneous influence of situational factors, responding officers, and neighborhood context on arrests guided by a social-ecological framework. MethodsCross-classified models were used to assess the outcomes of 835,381 incidents responded to by 835 Phoenix Police officers in 388 census tracts. ResultsSituational, officer, and neighborhood factors all significantly influence arrests. Incident-level factors account for most of the variation, followed by officers, and neighborhoods. Incidents that resulted in arrest were more likely to involve victims, a greater number of responding officers, female officers, and college-educated officers. Arrests were more likely to occur in Hispanic and Black neighborhoods, even when controlling for situational and officer-level characteristics. Arrests were less likely to occur when officers were assigned to high crime precincts. ConclusionsMultilevel models enable a comprehensive examination of police use of arrest using administrative data that are already being collected by police agencies. Through accounting for both officer and neighborhood-level influences, this strategy improves on prior theory testing in policing research. The results support elements of some theories, but conflict with others. These findings have important implications for police policies surrounding arrest and resource deployment.

Social Features of Integration in Health Systems and Their Relationship to Provider Experience, Care Quality and Clinical Integration.

More is known about the structural features of health system integration than the social features-elements of normative integration (alignment of norms) and interpersonal integration (collaboration among professionals and with patients). We surveyed practice managers and 1,360 staff and physicians at 59 practice sites within 17 health systems (828 responses; 61%). Building on prior theory, we developed and established the psychometric properties of survey measures describing normative and interpersonal integration. Normative and interpersonal integration were both consistently related to better provider experience, perceived care quality, and clinical integration (e.g., a 1-point increase in a practice's normative integration was associated with 0.53-point higher job satisfaction and 0.77-point higher perceived care quality in the practice, measured on 1 to 5 scales, p < .01). Variation in social features of integration may help explain why some health systems better integrate care, pointing to normative and interpersonal integration as potential resources for improvement.

The role of competitive amplification in explaining sustained performance heterogeneity

AbstractResearch SummaryThis article introduces a formal model of long‐term resource dynamics under uncertainty. The model demonstrates the importance of competitive amplification for the emergence of sustained performance heterogeneity. In some markets, small differences in resource positions tend to amplify over time into large performance differences. The model predicts that this amplification and the resulting performance heterogeneity are largest in markets where firms compete for critical resources that are highly scalable, carry high sunk cost, depreciate rapidly and exhibit strong time‐compression diseconomies. Amplification emerges because in these markets an advantaged firm tends to have a stronger incentive to invest than a follower. Prior theories had paid little attention to the critical role of such competitive interactions in shaping long‐term resource dynamics.Managerial SummaryIn some markets, performance differences between competitors are much larger than in others. For instance, in high‐tech markets just one or a few firms tend to generate a large share of profits, while in utilities many different firms can exhibit similar performance levels. The mathematical model in this article suggests that the characteristics of the critical resources in a market play an important role in whether firms in that market will have similar versus very different performance levels. For instance, competition for resources that are not capacity‐constrained and depreciate rapidly—such as innovative technologies—tend to induce advantaged firms to extend their leads, which over time causes any small differences in resource positions to amplify into large performance differences. Conversely, capacity‐constrained and long‐lived resources—such as industrial plants—tend to induce attenuation of performance differences.

The effect of brand loyalty and loss aversion on competitive trade-in strategies

Trade-in promotions allow consumers to turn in old products and receive a discount for purchasing a new item. Firms usually price discriminate consumers based on their purchase history (i.e. new or existing customers). However, behavioural research has shown that consumers exhibit loss aversion and brand loyalty after consuming a product that may influence economic outcomes. This paper examines the impact of consumers’ loss aversion and brand loyalty behaviour on firms’ trade-in promotion pricing strategy, profits, consumer surplus, and social welfare. Contrary to prior game theory research that generally shows that price discrimination based on purchase histories eventually results in lower profits for all firms, we find that firms’ profits from conducting price discrimination can increase with consumers’ loss aversion behaviour. We consider two scenarios where firms recognise and do not recognise consumers’ loss aversion and brand loyalty behaviour. We find that the profit with behaviour recognition is higher than that without behaviour recognition under the condition that consumers’ loss aversion concerns are sufficiently strong. However, both loss aversion and brand loyalty decrease consumer surplus. Besides, consumers’ loss aversion and brand loyalty behaviour can increase social welfare because they can reduce inefficient switching.

Larson and socio-economic closures in public accountancy professionalization

PurposeThe first purpose of this study is to respond to Matthews’ (2017) criticisms of Larson's (1977) professional project and accounting historians' past use of Larson (1977) when researching public accountancy professionalization. The second purpose is to use the response to Matthews (2017) as the foundation to construct a model of socio-economic closures of potential use for research and study.Design/methodology/approachIn order to respond to Matthews (2017), the study provides an interpretive review of Larson (1977) and analyses historical professionalization research published in leading accounting journals over three decades. The review and response, together with prior theory contributions, form the foundation for the proposed model of closures.FindingsMatthews’ (2017) criticisms of Larson (1977) and accounting historians' past use of Larson (1977) are, with some exceptions, not well-founded. Larson's (1977) professional project is an ideal model of professionalization and has been used appropriately by accounting historians to introduce and explain rather than a model or test public accountancy professionalization. The analyzed data from research journals are consistent with Larson (1977) in terms of identifiable historical phases of and specific closures actions in the professionalization process.Research limitations/implicationsThe study analyses peer-reviewed studies in selected accounting research journals over a defined period.Practical implicationsThe study provides a nuanced review of Larson (1977), clarifies evidence of the past use of Larson (1977) by accounting historians, challenges criticism of this use, identifies primary research that focuses on socio-economic closures and proposes a model of such closures for future research and study.Originality/valueThe study contains a comprehensive analysis of peer-reviewed research of public accountancy professionalization and proposes a model of closures inductively derived from empirical evidence and prior theoretical contributions.

Beyond Reward Expectancy: How Do Periodic Incentive Payments Influence the Temporal Dynamics of Performance?

Prior theory suggests that incentive plans, such as piece-rate or commission plans, motivate good performance because employees anticipate that current performance will generate matching future incentive payments. In this article, we move beyond reward expectancy to argue that performance can also derive from employees’ reactive responses to received incentive payments. We propose a salience-based theory casting incentive payments as recurring temporal markers that periodically increase the salience of the incentive plan, to which employees respond by temporarily increasing incentivized and unincentivized performance. We introduce multivariate time-series methods to test our hypotheses in longitudinal data spanning 169 weeks (1,183 days), drawn from an online firm using an incentive plan for its customer-support employees. While we find no evidence that incentive payments affect the dynamics of incentivized performance, they do temporarily boost several unincentivized behaviors and outcomes. Combined with fieldwork, these findings support our proposed mechanism of “salience-induced reciprocity”—that is, the temporary reciprocity in response to a periodic increase in the salience of the incentive plan. This article contributes to a more complete understanding of performance and effort dynamics in incentive plans, offers new inroads into studying temporality in the functioning of human resources practices, and provides other future research avenues.

Understanding the links between self-concept, sociocultural deviance and mental health problems in pathological social withdrawal

Pathological social withdrawal (PSW), an extreme form of socially avoidant behaviour, is emerging as a global public health issue. Prior PSW theories implicate personal values that deviate from sociocultural norms resulting in inner conflict and mental health problems. Speculatively, this conflict could manifest or be embedded within a person’s cognitive and affective self-concepts (self-construal and self-esteem respectively). In this study, we tested the hypotheses that compared to those without PSW, individuals with PSW would have lower personal and collective self-esteem, and endorse independent and/or interdependent self-construals to differing degrees. 343 Taiwanese adults completed a two-step online survey, which consisted measuring their social withdrawal condition, sociocultural deviance, personal/collective self-esteem, independent/interdependent self-construal and mental health problems. As expected, data showed that the affected group had lower self-esteem than the unaffected group, but no group difference emerged in either self-construal dimension. We also found that personal self-esteem in the PSW group was (concurrently) associated with sociocultural deviance and symptoms of poor mental health. Our results tentatively supported theories of PSW, suggesting that the influences individuals’ personal self-esteem and sociocultural deviance should be considered in future studies or treatments/preventions.

Customer Development Strategies and Performance of Start Up Carbon Projects; A Case of Study of Sustainable Agriculture Tanzania (SAT)

Present challenges experienced by a globalized and changing world with new forms of doing business has forced entrepreneurs to change their approach to customers especially given the prior traditional marketing theory. Current markets have a customer base with increasing in demand for more marginal products or services. Henceforth, they have created individual preferences. The general objective of this study was to establish the effect of customer development strategies on performance of start-up carbon projects; a case of study of sustainable agriculture Tanzania (SAT) Specifically, aimed at examining the effect of business model on Performance of forest carbon projects, examine the effect of customer service systems on Performance of forest carbon projects, the effect of communication process on Performance of forest carbon projects, including effect of competitive pricing on Performance of forest carbon projects. It is anchored on theory of product market fit, start-up marketing pyramid and cue utilization theory. The study is further supported by the following models; business model canvas, value proposition canvas and customer development model. The study used a survey design. The survey collected data and information aimed at identifying customer development strategies for performance of carbon projects in the start-up carbon market. The selected population were customers of Sustainable Agriculture Tanzania. They consisted of companies, partners and individuals who were involved with the carbon offsetting project or potential clients. Ten companies and fifty individual customers were selected for the survey. Individual customers were drawn from the current connections developed by Sustainable Agriculture Tanzania. Primary and secondary data was utilized from various secondary sources linked to the topic of study and gathered facts and figures from the questionnaires. The questionnaire comprised of questions relating to the carbon markets for organizations in the start-up carbon projects. The quantitative data retrieved from the study was analysed by use of descriptive statistics that included variability, frequency and central tendency measures. These help provide information regarding the distribution. Measures of frequency distribution on the other hand document the frequency of scores or records. The Statistical Package for Social Sciences (SPSS) program was used to analyse the data and output presented in form of tables, pie charts and bar graphs. The study found out that customer development strategies in start-up forest carbon projects are central to performance of forest carbon projects. Playing a part to this performance are particularly the company’s prices, enhanced innovation and creativity, business management system, reduction of the time required for decision-making, and improved planning of activities. At the same time, use of IT data management systems has to a large extent made the decision-making process faster. These aspects generally lead to better management of budgets efficiency in service provision; consistent increase in revenue and number of customers has increased. Moreover, customer development strategies lead to customer satisfaction improvement. In conclusion to the presented findings, communication process and customer service systems have shown to influence the performance of forest carbon projects. Setting up a tailored business model that works well with the cost structure of the business and suits project goals has also been visibly altering the functioning of projects. The strategy implemented on pricing is also seen to promote customer growth. It is recommended that start-up projects develop relevant pricing strategies for their products; especially during their early stages of development in order to differentiate and grow a viable customer base. Managers should also encourage proper training and practices when it comes to inter-organizational communication and strategy implementation. This will ensure every employee works in cohesion towards achieving the projected goals thus improving performance.

Factors Influencing Student STEM Learning: Self-Efficacy and Outcome Expectancy, 21st Century Skills, and Career Awareness

Social, motivational, and instructional factors impact students’ outcomes in STEM learning and their career paths. Based on prior research and expectancy-value theory, the study further explored how multiple factors affect students in the context of integrated STEM learning. High school STEM teachers participated in summer professional development and taught integrated STEM to students during the following school year, where scientific inquiry, biomimicry, 3D printing technology, and engineering design were integrated as instructional strategies. Surveys were conducted to measure teacher self-efficacy and outcome expectancy. Student STEM attitudes (self-efficacy and expectancy-value beliefs), 21st century skills, STEM career awareness, and STEM knowledge achievement were also measured using a survey and a custom-made knowledge test. Based on expectancy-value theory and literature, a path model was developed and tested to investigate causal relationships between these factors. The results revealed direct and indirect effects of teacher self-efficacy and outcome expectancy on students’ STEM knowledge achievements. Student STEM attitudes (self-efficacy and expectancy-value beliefs), 21st century skills, and STEM career awareness also significantly influenced STEM knowledge achievement directly or indirectly.

Free and Forced Components of Shoaling Long Waves in the Absence of Short-Wave Breaking

AbstractLong waves are generated and transform when short-wave groups propagate into shallow water, but the generation and transformation processes are not fully understood. In this study we develop an analytical solution to the linearized shallow-water equations at the wave-group scale, which decomposes the long waves into a forced solution (a bound long wave) and free solutions (free long waves). The solution relies on the hypothesis that free long waves are continuously generated as short-wave groups propagate over a varying depth. We show that the superposition of free long waves and a bound long wave results in a shift of the phase between the short-wave group and the total long wave, as the depth decreases prior to short-wave breaking. While it is known that short-wave breaking leads to free-long-wave generation, through breakpoint forcing and bound-wave release mechanisms, we highlight the importance of an additional free-long-wave generation mechanism due to depth variations, in the absence of breaking. This mechanism is important because as free long waves of different origins combine, the total free-long-wave amplitude is dependent on their phase relationship. Our free and forced solutions are verified against a linear numerical model, and we show how our solution is consistent with prior theory that does not explicitly decouple free and forced motions. We also validate the results with data from a nonlinear phase-resolving numerical wave model and experimental measurements, demonstrating that our analytical model can explain trends observed in more complete representations of the hydrodynamics.

Fostering Team Creativity Through Team-Focused Inclusion: The Role of Leader Harvesting the Benefits of Diversity and Cultivating Value-In-Diversity Beliefs

This article advances prior theory on inclusive leadership to better understand how leaders foster team creativity through members’ experience that their uniqueness belongs within the team (i.e., team-derived inclusion). We argue that leaders can instigate such sense of inclusion in their team by engaging in two behaviors: stimulating all members of the team to fully express their unique viewpoints and perspectives ( harvesting the benefits of diversity) and facilitating beliefs about the value of differences in the team ( cultivating value-in-diversity beliefs). In Study 1 ( n = 491 employees), we validated newly developed scales measuring these two leader behaviors. Using a sample of 38 teams within one organization (Study 2), we showed that harvesting the benefits of diversity, without also cultivating value-in-diversity beliefs, has a negative effect on team-derived inclusion and indirectly team creativity. In Study 3, we demonstrated based on 93 teams from multiple organizations, while ruling out several alternative explanations, that harvesting the benefits of diversity positively relates to team-derived inclusion and indirectly team creativity, if leaders also cultivated value-in-diversity beliefs. Our model and findings across studies are the first to shed light on inclusive leadership as double-edged sword in that leaders may need to complement harvesting with cultivating to prevent negative effects and elicit positive effects on inclusion and, eventually, team creativity.

Board Capital Effect on Firm Performance: Evidence from Indonesia

Human capital effects have been ignored as important resources to induce the organization’s performance in firm-level research. The proponents of human capital theory and resource-based view theory argue that the human resources attached to each board member, such as networking, education, and experience, might induce the performance. Yet, agency theory argues those strategic resources might bring higher transaction costs and entrenchment costs. Therefore, this study aims to examine the board's capital effect on firm performance for a sample of 252 listed firms in Indonesia over 2011–2017. Using dynamic GMM panel regression, we confirm the hypothesis about board capital and performance. The results imply that board members’ networking and experience are two important factors for firm performance. However, boar members’ education does not give any impact. It confirms prior theories whereby the capability and competency of directors are an important source for the firm to achieve its objective. Networking and experience might help the firm to avoid financial distress. It furthers implies that shareholders should choose board members with a high level of networking and experience, not education.

Numerical simulation of Vortex-Induced Vibration with bistable springs: Consistency with the Equilibrium Constraint

We present results from two-dimensional numerical simulations based on Immersed Boundary Method (IBM) of a cylinder in uniform fluid flow attached to bistable springs undergoing Vortex-Induced Vibrations (VIV). The elastic spring potential for the bistable springs, consisting of two potential wells, is completely defined by the spacing between the potential minima and the depth of the potential wells. We perform simulations of VIV with linear spring, as well as bistable springs with two different inter-well separations, over a wide range of reduced velocity. As expected, large oscillation amplitudes correspond to lock-in of the lift force with the natural frequency of the spring–mass system. The range of reduced velocity over which lock-in occurs is significantly higher for VIV with bistable springs compared to VIV with linear springs, although the maximum possible amplitude appears to be independent of the spring type. For VIV with bistable springs, the cylinder undergoes double-well oscillations in the lock-in regime. Range of reduced velocity over which lock-in occurs increases when the inter-well distance is reduced. The vortex shedding patterns and amplitude trends look similar at the same equivalent reduced velocity for the different springs. The results here are consistent with our prior theory, in which we propose a new “Equilibrium-Constraint (EC)” based on average kinetic energy budget of the structure. For a given spring potential, the intersection of natural frequency curves with the EC curve yields the possible range of reduced velocities over which lock-in should occur. Our numerical simulations show a collapse of the amplitude-versus-structure frequency data for all the simulations onto roughly the same curve, thus supporting the existence of the EC, and providing an explanation for the trends in the VIV oscillations. The present study provides fundamental insights into VIV characteristics of bistable springs, which may be useful for designing broadband energy harvesters.

Ferromagnetically Shifting the Power of Pausing

We study the interplay between quantum annealing parameters in embedded problems, providing both deeper insights into the physics of these devices and pragmatic recommendations to improve performance on optimization problems. We choose as our test case the class of degree-bounded minimum spanning tree problems. Through runs on a D-Wave quantum annealer, we demonstrate that pausing in a specific time window in the anneal provides improvement in the probability of success and in the time-to-solution for these problems. The time window is consistent across problem instances, and its location is within the region suggested by prior theory and seen in previous results on native problems. An approach to enable gauge transformations for problems with the qubit coupling strength $J$ in an asymmetric range is presented and shown to significantly improve performance. We also confirm that the optimal pause location exhibits a shift with the magnitude of the ferromagnetic coupling, $|J_F|$, between physical qubits representing the same logical one. We extend the theoretical picture for pausing and thermalization in quantum annealing to the embedded case. This picture, along with perturbation theory analysis, and exact numerical results on small problems, confirms that the effective pause region moves earlier in the anneal as $|J_F|$ increases. It also suggests why pausing, while still providing significant benefit, has a less pronounced effect on embedded problems.

Improved defogging algorithm for sea surface images based on dark channel prior theory

To improve the quality of the sea surface image under foggy weather, we propose an innovative single-image defogging algorithm based on the dark channel prior principle. The median filter is combined with the minimum filter for the purpose of obtaining accurate dark channel values in areas where the depth of field changes sharply. Then, the algorithm constructs a fog density detection model to obtain the atmospheric light value from the dense fog area and effectively eliminate the interference of bright spots. Subsequently, the atmospheric scattering model is applied to obtain a preliminary fog-free image. Finally, an adaptive logarithmic mapping algorithm is introduced to enhance the visual effect of the defogged image. Experimental results show that the proposed algorithm can effectively improve image quality degradation and avoid halos in the intersection region of sky and sea, Moreover, the method does not require guided filtering for transmittance refinement, which greatly improves the execution speed of the algorithm.

Relationship between technological improvement and innovation diffusion: an empirical test

ABSTRACT Different technological domains have significantly different rates of performance improvement. Prior theory indicates that such differing rates should influence the relative speed of diffusion of the products embodying the different technologies, since the improvement in performance during the diffusion process increases the diffusing desirability of the product. However, there has been no broad empirical attempt to examine this effect and clarify its underlying cause. Therefore, this study reviews the theoretical basis and focuses upon empirical tests of this effect across multiple products and their underlying technologies. The results for 18 diffusing products show the expected relationship (faster diffusion for products based on more rapidly improving technological domains) between technological improvement and diffusion with vital statistical significance. The empirical examination also demonstrates that technological improvement does not slow down in the later stages of diffusion when penetration slows down. This finding indicates that the diffusion slowdown in the later stages is due to market saturation effects and not to a slowdown in performance improvement.

How I See Me—A Meta-Analysis Investigating the Association Between Identities and Pro-environmental Behaviour

Prolific research suggests identity associates with pro-environmental behaviours (PEBs) that are individual and/or group focused. Individual PEB is personally driven, self-reliant, and are conducted on one's own (e.g., home recycling). Group focused PEB is other people-reliant and completed as part of a group (e.g., attending meetings of an environmental organisation). A wide range of identities have been related to PEBs. For example, a recent systematic qualitative review revealed 99 different types of identities studied in a PEB context. Most studies were correlational, few had an experimental design. However, the relationships between all these identities and PEBs have so far not been tested quantitatively with meta-analytical techniques. As such, a clear overview of this field is currently lacking. Due to the diverse nature of the field, a priori hypotheses were not possible and relatively broad definitions of identity had to be used to encompass all types of identities and the diverse meanings of identity that have been included in PEB research. What prior theory did allow for was to assess the distinction between two main types of identity, namely how people label, describe, and recognise oneself individually (individual identity), or as part of a group (group identity). Our overall goal was thus to assess the current state of knowledge on identities and PEBs. In 104 studies using a meta-regression following the preferred reporting items for systematic reviews and meta-analyses guidelines, our random-effects meta-analysis showed that the overall concept of identity associated with PEB with a medium Pearson's r (Aim 1). Furthermore, we found that individual identities associated more strongly with PEBs than group identities (Aim 2). The associations between individual and group identities were stronger when the identity and PEB were from the same category (e.g., when both were group-focused; Aim 3). Methodologically, the findings revealed that group identities and group PEBs were most strongly associated for self-reported rather than observed PEBs (Aim 4). Overall identity associated most strongly with group PEBs in the field rather than in the lab (Aim 5) and in student- rather than non-student samples (Aim 6). We discuss the theoretical and practical implications.

Does liquidity drive stock market returns? The role of investor risk aversion

In this paper, we explore the relations between liquidity, stock returns, and investor risk aversion as captured by the variance risk premium (VRP). This is motivated by theoretical and empirical evidence in the literature which suggests that investor risk aversion negatively correlates with asset liquidity, and ample empirical evidence documenting liquidity risk premium. We use monthly US data from January 1999 to December 2018 and show that innovations in the VRP Granger-cause stock returns, which in turn drive liquidity. Our findings are consistent with predictions of prior theories and highlight the predictability of the VRP. They also contribute to the on-going debate on the causal relation between stock returns and liquidity. Finally, we explore the channels through which the VRP impacts liquidity and find that the VRP influences market and momentum factors, and that movements in these factors lead to changes in liquidity.

Conceptual Profit Allocation Framework for Construction Joint Ventures: Shapley Value Approach

Construction joint ventures (CJVs) execute business by pooling diverse technical and financial contributions from collaborating entities. Traditional CJV profit-allocation approaches account only for investment shares, and do not address the marginal contribution of the participating parties. Therefore, disagreements may arise between stakeholders. This research aims to reduce profit-share-related disagreements among multiple CJV members by allocating profit based on the marginal contribution of each party. The authors developed a conceptual framework using the Shapley value as an alternative to the traditional investment-based approach. Three illustrative examples demonstrated the possible use of the developed conceptual framework. Results of the study highlighted the potential of Shapley value as an alternative profit allocation scheme. The stability of the generated results was validated mathematically, and decision makers’ perception of fairness was addressed following the methods of prior experimental cooperative game theory research. This paper contributes to the body of knowledge by proposing an axiomatically fair methodology for profit-sharing negotiations among multiple collaborating parties in a project. This approach can be utilized in other engineering domains where the management needs to foster stable and fair collaborations among its stakeholders.

Application of operational-based strategic intervention model for evaluating office buildings energy efficiency performance

The operational management and strategic interventions for energy efficiency (EE) of facilities could be optimised if interventions and decision-making processes are well integrated. Hence, this study developed a conceptual dual model for building energy performance (BEP) as a composite model based on prior theories. The theoretical study variables were interventions (technical and operational) and decision-making (management) factors (manifest variables) derived from an extensive literature review. Likewise, the constructs (latent variables) were the aggregated data of the intervention/decision-making evident factors used in the composite scale model. These constructs define the identifiable EE (management) manifest factors and classify them for standardised EE management practices. This paper describes the effects and the causal relationship between constructs derived from these factors that impact BEP via the composite scale model. An online self-administered questionnaire was used in gathering information from the occupants of selected office buildings in two countries (Nigeria and the UK). Structural equation modelling was engaged in evaluating the structure of the composite scale model that serves as a merger of isolated critical factors that affect BEP improvement. The model has four parts: the strategic driver, management policy, operational and building energy performance constructs as distinct sub-models. The results of the model evaluation reveal that the collected data fit the hypothesised dual model and have good fits. The models are not significantly different; they help investigate the fundamental relationship between the constructs. The result also reveals a strong positive correlation of management policy with strategic drivers for EE; strategic drivers with the use of building energy performance model; and management policy with operational EE practices. Path evaluation shown on the dual model specified the hypothesised causal relationship amongst constructs and strategic driver as the only significant positive mediator. Furthermore, the study integrates interventions and decision-making in a new dual model for improving BEP for diagnostic and solution purposes. Facility managers and owners could use the dual model as a strategic and tactical decision-making implement in managing low-carbon office BEP.