This study aims to develop an original green organizational learning capability (GOLC) framework to examine the effects of green transformational leadership (GTL) on competitive…
Abstract
Purpose
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).
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
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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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
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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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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It is well known that public infrastructure, particularly the transportation infrastructure sector, is notorious for low efficiency, spending waste and corruption. Achieving the…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
The empirical results reveal that there is a large efficiency variation among state highway infrastructure systems.
Practical implications
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.
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Nausheen Bibi Jaffur, Pratima Jeetah and Gopalakrishnan Kumar
The increasing accumulation of synthetic plastic waste in oceans and landfills, along with the depletion of non-renewable fossil-based resources, has sparked environmental…
Abstract
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.
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Jiseul Kim, Can Chen and Carol Ebdon
The purpose of this paper is to evaluate whether the additional infrastructure information in US state financial statements improves infrastructure quality.
Abstract
Purpose
The purpose of this paper is to evaluate whether the additional infrastructure information in US state financial statements improves infrastructure quality.
Design/methodology/approach
Based on institutional theory, the authors developed six models and estimated them on a state panel data set.
Findings
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.
Practical implications
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.
Social implications
In addition, governments currently using depreciation should be encouraged to move to the modified approach.
Originality/value
This is the first attempt to empirically examine the effects of GASB 34 on infrastructure condition.
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This research conducts bibliometric analyses and network mapping on smart libraries worldwide. It examines publication profiles, identifies the most cited publications and…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
This study helps librarians, scientists and funders understand smart library trends.
Originality/value
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.
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Nan Liu, Rui Zhou, Ruoyu Jin, Qing Xiao and Zhipeng Hu
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
This study contributed to the body of knowledge in construction conflict and bridge the research gap in the thorough review of previous research work.
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Xunzhuo Xi, Can Chen, Rong Huang and Feng Tang
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…
Abstract
Purpose
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.
Design/methodology/approach
Using data from 2002 to 2019, the authors empirically test the association between meeting or beating analysts’ earnings expectations and the implementation of SSR.
Findings
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.
Practical implications
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.
Originality/value
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.