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This study aims to develop an original green organizational learning capability (GOLC) framework to examine the effects of green transformational leadership (GTL) on competitive advantage (CA) through GOLC by making use of the natural resource-based view (NRBV).

The current research proposes GOLC as a novel construct that simultaneously integrates green absorptive capability (GAC) and green transformative capability (GTC). Furthermore, this study presents a theoretical model that investigates GOLC as an intermediate mechanism in the relationship between GTL and CA based on the NRBV. The partial least squares method is used to test the data collected from 265 firms included in the list of Turkey’s Top 500 Industrial Enterprises in 2019 and having ISO 14001 certificate.

Top management’s GTL positively affects the firm’s GOLC. Moreover, GOLC positively affects the firm’s CA. This study further shows that GTL has a significant indirect effect on CA through GOLC.

This study demonstrates how firm managers can be persuasive in adopting GOLC with a critical role in developing and promoting green products and services to improve the firm’s environmental sustainability and CA by exhibiting GTL.

This research applies the NRBV theory to propose a novel concept, GOLC and develops an integral conceptual model to discover its managerial impacts, antecedent and consequence. No prior literature has examined the impact of top management’s GTL on GOLC and CA.

Developing new green services is critical to a hospitality organization’s achievement of sustainable goals as well as competitive advantage. This study aims to unravel the mechanisms through which organizations with green entrepreneurial orientation (green EO) can foster green service innovation.

The data set for testing these mechanisms was garnered from employees and managers who worked in hotels based in an Asia-Pacific market. A multilevel analysis was conducted on this data set.

The results revealed the positive nexus between organizational green EO and green service innovation perceptions. The results of the study further lent credence to employee green creativity as a mediation path for such a relationship. Furthermore, customer involvement was found to fortify the linkage of green EO with employee green creativity and the linkage of employee green creativity with green service innovation perceptions.

The results suggest to hotel organizations how to optimally translate their green entrepreneurial strategy into new green services that meet customer preferences and societal expectations.

This inquiry extends the hospitality management literature by linking green EO to green service innovation of hospitality organizations as well as identifying the mediation and moderation mechanisms underlying this link.

The recognition and positioning of start welding position (SWP) is the first step and one of the key technologies to realize autonomous robot welding. The purpose of this paper is to describe a method developed to accomplish successful autonomous detection and guiding of SWP.

The images of workpieces are snapped by charge coupled device (CCD) cameras in a relative large range without additional light. The recognized methods of SWP are analyzed according to the given definition. A two‐step method named “coarse‐to‐fine” is proposed to recognize the SWP accurately. The first step is to solve the curve functions of seam and workpieces boundaries by fitting. The intersection point is regarded as initial value of SWP. The second step is to establish a small window that takes the initial value of SWP as centre. Then, the SWP is obtained exactly by corner detection in the window. Both the abundant information of original image and the structured information of recognized image are used according to given rules, which takes full advantage of the image information and improves the recognized precision.

The detected results show that the actual and calculated positions by first step of SWP are identical for regular seam, but different for the irregular curve seam. The exact results can be calculated by the two‐step method in the paper for both regular and irregular seams. The typical planar “S‐shape” and spatial arc curved seams are selected to carry out autonomous guiding of SWP.

The experimental results are given based on the introduction of 3D reconstructed and guided method. The guided precision is less than 1.1 mm, which meets the requirements of practical production. The proposed two‐step method recognizes the SWP rapidly and exactly from coarse to fine.

It is well known that public infrastructure, particularly the transportation infrastructure sector, is notorious for low efficiency, spending waste and corruption. Achieving the efficiency of public infrastructure investment is a crucial element to improve the current deteriorating condition of American transportation infrastructure system. The paper aims to discuss these issues.

This research utilizes an input-oriented, variable return to scale non-parametric data envelopment analysis to estimate the relative cost efficiency of highway infrastructure investment among the 48 American continental states from 1995 to 2009.

The empirical results reveal that there is a large efficiency variation among state highway infrastructure systems.

In addition, state governments on average reach 95.8 percent of the efficiency of their best practice peers in terms of providing quality highway infrastructure outcomes.

The purpose of this paper is to evaluate whether the additional infrastructure information in US state financial statements improves infrastructure quality.

Based on institutional theory, the authors developed six models and estimated them on a state panel data set.

The authors found that the implementation of the Government Accounting Standard Board (GASB) Statement No. 34 improved state highway infrastructure quality, and the states using the modified approach had a larger effect compared to the states using depreciation accounting. The authors further used a two-step path analysis and found that the implementation of GASB 34 indirectly improved highway quality through increasing state highway maintenance expenditures. From the empirical results, the authors conclude that the exercise of collecting and developing systems to track the additional data has provided the opportunity for officials to use the information to prioritize limited funding and improve their asset management practices.

Future research may extend this research by exploring the detailed micro-mechanisms of how decision makers use infrastructure information in their asset management practices, as well as by increasing the number of years in the panel data set to fully capture changes in behavior.

In addition, governments currently using depreciation should be encouraged to move to the modified approach.

This is the first attempt to empirically examine the effects of GASB 34 on infrastructure condition.

The purpose of this paper is to summarize the research of construction conflict from 1991 to 2020 and propose research directions for future scholarly work. During the recent decades, it is widely accepted that construction conflict is inevitable, and conflict management has become an important component of project management. However, few works were done to map the global study in this field, there is limited review that evaluates the current stage of construction conflict research.

This study adopted a holistic literature review approach that incorporates bibliometric search and scientometric analysis. A total of 698 bibliographic records from the Web of Science core collection database were collected for the scientometric analysis. CiteSpace5.7 was adopted for the science mapping purpose in this study.

Through co-authorship analysis, co-word analysis and co-citation analysis, influential scholars and journals are identified. Several research trends are highlighted according to the scientometric analyses of the construction conflict topics. For example, the application of simulation and algorithms to the study of construction conflict management systems.

Construction is a resource-intensive, multi-participant and multi-targeted industry. Conflicts always exist in the whole life cycle of construction projects, it is important for industry practitioners to be updated of the latest movement and progress of the academic research.

This study contributed to the body of knowledge in construction conflict and bridge the research gap in the thorough review of previous research work.

The main purpose of this paper is to examine the political, economic and institutional determinants of capital assets condition ratio in American local governments using government-wide financial statements.

Based on capital assets data from the period of 2011–2016 for the 66 Florida counties as reported on their government-wide financial statements, the authors use a panel two-way fixed effects estimation and a dynamic panel generalized method of moments estimation.

The authors find that social-economic factors, fiscal capacity and democratic voters explain the capital assets condition ratio in Florida county governments.

The major findings of this study may only apply to county government in one single state. It may raise the issue of the external validity of our research. It provides policy recommendations for local public officials to maintain and upgrade their capital assets.

The study utilizes a new approach of capital assets condition ratio to measure county government investment in capital assets based on the government-wide financial statements.

The purpose of this paper is to examine the decision to contract school meal services and the associated nutritional and financial impacts on school districts. Given the increase in the use of competitive contracting of public school meal services and the critical role that school meal services play in public health, this is an important subject to investigate.

A case study was performed using one US school district with privatized food service. Face-to-face interviews were conducted with school food service decision makers. Other data collection included the analysis of public documents such as the school district’s budgets and financial statement reports (the cost per lunch and breakfast meals, the cost for labor, contract, transport, supplies and food expenses) and school food service policies (contract policies). Supplementary data pertaining to district social-demographic profiles and full-time equivalent enrollment figures were also collected from state departments.

Analysis of interviews revealed that positive financial motivations and impacts were dominant factors related to contracting food services in the district. A significant finding was the relatively short turnaround in the district’s negative financial situation as a result of contracting out the food services. These findings provide valuable insight and support for rural school districts in similar negative financial situations seeking to contract out food services.

Many studies have examined contracting out of technical services, such as transport and waste management, and social services, such as correctional services and health; however, there is a lack of studies documenting the effects of contracting out of school meal services.

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.