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Since airlines that employ their resources effectively will achieve operating profitability, air route resource allocation is significant for airlines. This study aims to investigate an appropriate model to reallocate resources into each air route of an airline company.

This study proposes a network centralized data envelopment analysis (DEA) models with slack-based measure (SBM). The proposed model not only takes into account the two interconnected stages but also considers the nonradial approach with transfer-in and transfer-out slacks for resource reallocating. Furthermore, the authors modify the objective function to an input-oriented function with SBM, and divide the model into passenger and freight parts, which makes the model more realistic for the characteristic of air routes.

The empirical analysis using an airline company's internal data provides airline operators with information on how they increase or decrease input resources, which can serve as a practical guideline of resource reallocation. Specifically, the results indicate that the airline company should increase their input resources into long-haul air routes such as KOR-OCN while decreasing their input resources into short-haul air routes such as Korean-Oceania (KOR-OCN), Korean-Chinese (KOR-CHN), Korean-Southeast Asian (KOR-SEA), Korean-Japanese (KOR-JPN).

Although some papers evaluate air route efficiencies based on the DEA approach, a few existing papers have addressed resource allocation for air routes. This paper is the first to study the resource reallocation for air routes based on the DEA approach, contributing to the literature in expanding the scope of research on resource reallocation.

Work crew productivity and the application of limited resources are necessary elements in construction duration delay analysis. This study thus proposes a method to analyze construction delays and resource reallocation based on work crew productivity and resource constraints. The study also presents an economic feasibility analysis that maximizes economic effect by reducing construction duration, the cost of resource reallocation, delay liquidated damages (DLDs) and incentives for reducing contractual duration.

The proposed method involved three steps. First, work crew characteristics such as productivity, unit price and workload helped analyze delay information, including delay duration, reducible duration and daily reduced cost. Next, a goal programming method assessed resource reallocation based on the priority (as determined by decision-makers) of each constraint condition, such as the available number of workers, cost, goal workload and statutory working hours. Lastly, the level of reallocation was analyzed based on the results of the economic feasibility analysis and decision-makers’ delay attitudes.

A case study was performed to test the proposed method's applicability. Its involved sensitivity analysis indicated proposing to decision-makers a scenario based on the prioritization of economic feasibility. The proposed method's applicability proved high for decision-makers, as they can determine whether to reduce construction duration per the proposed data.

The proposed method's main contribution is the reallocation of resources to reduce construction duration based on work crew productivity and the prioritization of limited resources. The proposed method can analyze the differences in productivity between the plan and actual progress, as well as calculate the necessary number of workers. Decision-makers can then reduce the appropriate level of contractual duration based on their own delay attitude, constraint condition prioritization and results from daily economic feasibility analyses.

This chapter provides an empirical assessment of the effects of infrastructure provision on structural change and aggregate productivity using industrylevel data for a set of developed and developing countries over 1995–2010. A distinctive feature of the empirical strategy followed is that it allows the measurement of the resource reallocation directly attributable to infrastructure provision. To achieve this, a two-level top-down decomposition of aggregate productivity that combines and extends several strands of the literature is proposed. The empirical application reveals significant production losses attributable to misallocation of inputs across firms, especially among African countries. Also, the results show that infrastructure provision has stimulated aggregate total factor productivity growth through both within and between industry productivity gains.

This article considers real options approaches through the lens of firm's resource reallocation processes. It explores some potential drivers and consequences of mismatches between initial resource allocation logics and subsequent reallocation realities, highlighting a process of rational escalation in the presence of sunk costs. It also presents a new perspective on the traditional stage-gate process, and considers some recent empirical evidence on the efficiency of resource reallocation processes in organizations.

The purpose of this paper is to measure TFP growth and job reallocation in the Vietnamese manufacturing industry after the Doimoi period.

The study uses firm-level panel data from Vietnam’s annual enterprise survey data for 2000–2016 period in the Vietnamese manufacturing industry using Olley–Pakes static and dynamic productivity decomposition methods.

The aggregate productivity estimated from the WRDG method increased 2.323 percent, of which over 40 percent is due to the reallocation toward more productive firms. Olley–Pakes dynamic decomposition according to ownership, scale and industry shows that the contribution of private and state-owned firms and the contribution of small and medium firms and large firms to the TFP growth are 133, −33 percent, 58.56 and 41.44 percent, respectively. The within-firm productivity and net entry components are the main reasons for TFP growth rather than reallocation. The results show that the composition of the aggregate TFPs, estimated from WRDG, OP, LP and ACF, is correlated very high (over 80 percent) except for net entry components.

The major limitation of this study is that the authors compute an aggregate productivity index using actual employment-based shares (still misallocation in labor), rather than optimal employment-based shares (no misallocation in labor).

Job reallocation between industries is attracting attention in developing countries, especially transition economies. However, knowledge about job reallocation among industries is limited. This paper assesses the level of job reallocation among private and state-owned firms, small and medium firms and large firms in Vietnam.

This research identifies the level of misallocation in Vietnamese manufacturing sector for the period 2000–2015. Meltiz and Polanec dynamic productivity decomposition is used to compare the relative productivity contributions from surviving, entering and exiting firms to aggregate productivity change by the type of ownership. Heckman's two-step model is used to examine the effect of misallocation and industry- and firm-level factors on entry or exit decision and market share of firms in Vietnamese manufacturing sector.

The level of misallocation and efficiency gains in total factor productivity (TFP) are assessed using Hsieh and Klenow (2009) productivity decomposition framework for the period 2000–2015. The dynamic productivity decomposition of Meltiz and Polanec (2015) is used to compare the relative contributions from surviving, entering and exiting firms to aggregate productivity change. The effects of misallocation and other factors on entry or exit decisions and market share of firms are determined by using Heckman choice model.

The results indicate three main points. Firstly, resource misallocation is found to be highest among state-owned enterprise (SOEs) and low technology industries. TFP is found to 81.2% greater if there is no resource misallocation among firms. Secondly, the aggregate productivity change for the entering, exiting and surviving firms is 35% due to productivity reallocation among three groups. Finally, the decision of entry or exit as well as the market share of firms are influenced by misallocation and industry- and firm-level factors such as Vietnam's WTO entry, tax policy, financial frictions, industrial concentration, technology gap, capital intensity, human capital, scale of firm, time entry and FDI spillovers. The result finds the higher misallocation level is, the lower the probability and market share for a new firm to enter in the industry is.

The main limitation of the study is that the market is assumed perfectly competitive and the method has only decomposed misallocation of resources to those arising from output and capital distortions. The results of Heckman choice model only clarify on the sub-sample of state-owned enterprises and low technology firms.

The focus of many previous research papers on resource misallocation was generally to look at the level of misallocation in developed countries. However, knowledge about the effect of misallocation and other factors on entry or exit decisions and market share of firms is limited, particularly in the context of developing countries. This paper clarifies the level of misallocation in Vietnamese manufacturing sector and the effect of misallocation and other factors on entry or exit decisions and market share of firms.

Every year volunteers play a crucial role in disaster responses around the world. Volunteer management is known to be more complex than managing a paid workforce, and this is only made worse by the uncertainty of rapidly changing conditions of crisis scenarios. The purpose of this paper is to address the critical problem of assigning tasks to volunteers and other renewable and non-renewable resources simultaneously, particularly under high-load conditions. These conditions are described by a significant mismatch between available volunteer resources and demands or by frequent changes in requirements.

Through a combination of literature reviews and interviews with managers from several major volunteer organizations, six key characteristics of crisis volunteer resource allocation problems are identified. These characteristics are then used to develop a general mixed integer programming framework for modeling these problems. Rather than relying on probabilistic resource or demand characterizations, this framework addresses the constantly changing conditions inherent to this class of problems through a dynamic resource reallocation-based approach that minimizes the undesirable impacts of changes while meeting the desired and changing objectives. The viability of this approach for solving problems of realistic size and scale is demonstrated through a large set of computational experiments.

Using a common commercial solver, optimal solutions to the allocation and reallocation problems were consistently obtained in short timespans for a wide variety of problems that have realistic sizes and characteristics.

The proposed approach has not been previously addressed in the literature and represents a computationally tractable method to allocate volunteer, renewable and non-renewable resources to tasks in highly volatile crisis scenarios without requiring probabilistic resource or demand characterizations.

With data from the 2003 and 2005 National Minority Business Owners Survey, we examined the extent to which minority business owners differ from nonminority business owners in their reported use of adjustment strategies, and the relationship between the use of adjustment strategies and perceived business success. The sample consisted of 193 African American, 200 Mexican American, 200 Korean American, and 210 white business owners. Mexican American and Korean American business owners reported higher levels of adjustment strategy use than African American and white business owners. The ordinary least squares show that reallocating family resources to meet business needs and reallocating business resources to meet family needs were negatively associated with perceived business success, whereas hiring paid help was positively associated with perceived business success.

The authors examined how squad members within an Australian state police force perceived and attached enabling or coercive meanings to a suite of management control system (MCS) changes that were new public management (NPM) inspired.

The authors conducted a longitudinal case study of a large Australian state police department utilizing an abductive research design.

The authors found that identification processes strongly conditioned the reception of the MCS changes introduced. Initially, the authors observed mixed interpretations of controls as both enabling and coercive. Over time, these changes were seen to be coercive because they threatened interpersonal relationships and the importance and efficacy of squads in combating serious and organized crime.

The authors contributed to MCSs literature by revealing the critical role that multifaceted relational and collective identification processes played in shaping interpretations of controls as enabling–coercive. The authors build on this to elaborate on the notion of employees’ centricity in the MCS design.

This study suggests that, in complex organizational settings, the MCS design and change should reckon with pre-existing patterns of employees’ identification.

The authors suggested shifting the starting point for contemplating the MCS change: from looking at how what employees do is controlled to how the change impacts and how employees feel about who they are. When applied to the MCS design, employee centricity highlights the value of collaborative co-design, attentiveness to relational identification between employees, feedback and interaction in place of inferred management expectations and traditional mechanistic approaches.