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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 increasing accumulation of synthetic plastic waste in oceans and landfills, along with the depletion of non-renewable fossil-based resources, has sparked environmental concerns and prompted the search for environmentally friendly alternatives. Biodegradable plastics derived from lignocellulosic materials are emerging as substitutes for synthetic plastics, offering significant potential to reduce landfill stress and minimise environmental impacts. This study highlights a sustainable and cost-effective solution by utilising agricultural residues and invasive plant materials as carbon substrates for the production of biopolymers, particularly polyhydroxybutyrate (PHB), through microbiological processes. Locally sourced residual materials were preferred to reduce transportation costs and ensure accessibility. The selection of suitable residue streams was based on various criteria, including strength properties, cellulose content, low ash and lignin content, affordability, non-toxicity, biocompatibility, shelf-life, mechanical and physical properties, short maturation period, antibacterial properties and compatibility with global food security. Life cycle assessments confirm that PHB dramatically lowers CO₂ emissions compared to traditional plastics, while the growing use of lignocellulosic biomass in biopolymeric applications offers renewable and readily available resources. Governments worldwide are increasingly inclined to develop comprehensive bioeconomy policies and specialised bioplastics initiatives, driven by customer acceptability and the rising demand for environmentally friendly solutions. The implications of climate change, price volatility in fossil materials, and the imperative to reduce dependence on fossil resources further contribute to the desirability of biopolymers. The study involves fermentation, turbidity measurements, extraction and purification of PHB, and the manufacturing and testing of composite biopolymers using various physical, mechanical and chemical tests.

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.

This research conducts bibliometric analyses and network mapping on smart libraries worldwide. It examines publication profiles, identifies the most cited publications and preferred sources and considers the cooperation of the authors, organizations and countries worldwide. The research also highlights keyword trends and clusters and finds new developments and emerging trends from the co-cited references network.

A total of 264 records with 1,200 citations were extracted from the Web of Science database from 2003 to 2021. The trends in the smart library were analyzed and visualized using BibExcel, VOSviewer, Biblioshiny and CiteSpace.

The People’s Republic of China had the most publications (119), the most citations (374), the highest H-index (12) and the highest total link strength (TLS = 25). Wuhan University had the highest H-index (6). Chiu, Dickson K. W. (H-index = 4, TLS = 22) and Lo, Patrick (H-index = 4, TLS = 21) from the University of Hong Kong had the highest H-indices and were the most cooperative authors. Library Hi Tech was the most preferred journal. “Mobile library” was the most frequently used keyword. “Mobile context” was the largest cluster on the research front.

This study helps librarians, scientists and funders understand smart library trends.

There are several studies and solid background research on smart libraries. However, to the best of the author’s knowledge, this study is the first to conduct bibliometric analyses and network mapping on smart libraries around the globe.

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.

This study aims to examine whether Chinese firms increase their concerns about analysts’ earnings forecasts following the split-share structure reform (SSR) in 2005, which removed trading restrictions on approximately 70% of the shares of listed firms.

Using data from 2002 to 2019, the authors empirically test the association between meeting or beating analysts’ earnings expectations and the implementation of SSR.

The authors find that firms are more inclined to meet analysts’ earnings expectations after the introduction of SSR. Further analysis shows that firms guide analysts to walk their forecasts down by manipulating third-quarter earnings, suggesting enhanced value relevance between analysts’ forecasts and third-quarter earnings management in the postreform period.

The findings reveal an undesirable side effect of SSR and suggest that policymakers and regulators should consider and carefully manage the complex relationships between firms and analysts.

In contrast to prior studies that predominantly focus on the positive effects of the reform, this study reveals the side effects of SSR and provides new evidence on the mechanisms of meeting or beating analysts’ earnings expectations.