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1 – 10 of 87Mei-Hsin Wang and Hui-Chung Che
This research explores support vector machine (SVM) with Gaussian radial basis function kernel (RBF) as the model and Analysis of Variance (ANOVA) for forecasting the invalidation…
Abstract
Purpose
This research explores support vector machine (SVM) with Gaussian radial basis function kernel (RBF) as the model and Analysis of Variance (ANOVA) for forecasting the invalidation re-examination decisions of China invention patents, it is beneficial to support patent monetization for corporate intellectual capital.
Design/methodology/approach
There were 8,666 China invention patents with their existing invalidation re-examination decisions during 2000∼2021 chosen to conduct classification model training and prediction for the accuracy of invalidation re-examination decisions through SVM with RBF. Statistical significance was performed by ANOVA to identify indicators for these invention patents selected in this research. These selected 8,666 China invention patents were divided into two groups based on their invalidation re-examination decisions during 2000∼2021 in Table 1, which Group 1 included 5,974 invention patents with all valid or partially valid claims, and Group 0 included 2,692 invention patents with all invalid claims. Thereafter, each group was further divided into sub-groups based on 13 major regions where the applicants filed invalidation re-examination. The training sets for Group 1, Group 0 and the sub-groups were selected based on the patent issued in January, February, April, May, July, August, October and November; while the prediction sets were selected from the invention patents issued in March, June, September and December.
Findings
The training and prediction accuracies were compared to the existing invalidation re-examination decisions. Accuracies of training sets were ranged from 100% in region 7 (Beijing) and region 9 (Shanghai) to 95.95% in region 1 (US), and the average accuracy of invalidation re-examination decisions was 98.95%. While the accuracies of prediction sets for Group 1 were ranged from 100.00% in region 7 (Beijing) to 90.78% in region 13 (Overseas-others), and the average accuracy of classification was 95.96%, this research’s outcomes confirmed the purpose of applying SVM with RBF to predict the patentability sustainability.
Originality/value
This research developed an empirical method through SVM with RBF to predict patentability sustainability which is crucial for corporate intellectual capital on patents. In particular, the investments on patents are huge, including the patent cultivation and maintenance, developments into products or services, patent litigations and dispute managements. Therefore, this research is beneficial not only for corporation, but also for research organisations to perform cost-effective and profitable patent strategies on intellectual capital.
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Dharen Kumar Pandey, Rahul Kumar and Vineeta Kumari
This study examined the impact of the Glasgow Climate Pact on the abnormal returns of global clean energy stocks. Further, this study examines which country-specific and…
Abstract
Purpose
This study examined the impact of the Glasgow Climate Pact on the abnormal returns of global clean energy stocks. Further, this study examines which country-specific and firm-specific variables drive the cumulative abnormal returns (CARs) of clean energy stocks.
Design/methodology/approach
The authors used the event study method and cross-sectional multivariate regression model. The clean energy stocks in this study are limited to 81 constituent firms of the S&P Global Clean Energy Index across 17 nations. The final sample includes 80 firms and the sample period ranges from January 26, 2021, to December 07, 2021.
Findings
The study finds that the Glasgow Climate Pact negatively affects the stock returns of clean energy firms. Moreover, the climate change performance index (CCPI) positively impacts cumulative abnormal returns (CARs), signifying that clean energy investors react positively to firms in nations with good CCPI scores. The environmental, social and governance (ESG) measure for the shorter window (−1, +1) exhibited a negative relationship with CARs. The firm-specific variables (BTM, stock liquidity, size and past returns) exhibit a negative relationship with CARs in different event windows.
Research limitations/implications
The authors use the CCPI as a proxy for the stringency of environmental policies in any nation. The authors extend the existing literature by employing firm-specific variables and supporting previous findings. Their findings have policy implications for clean energy investors, policymakers and other market participants.
Practical implications
Climate risks impact the global financial market, so the findings have implications for global regulatory bodies. Currently, there are bankruptcy cases due to climate risks. Because financial markets must play a critical role in shifting the economy toward a green one, regulators can use the cross-sectional drivers of this study to shape policy. It is also critical for regulators to reduce stock price volatility in the event of the implementation of environmental regulations and improve environmental disclosures by publicly traded companies. Furthermore, governments are interested in researching the effects of environmental regulations to protect stakeholders' interests. These regulations significantly impact emerging markets because they lack the same solid institutional frameworks as developed markets.
Originality/value
The authors provide evidence that firms with better ESG scores and larger firm sizes have experienced fewer abnormal returns, as these firms have stable financial and non-financial fundamentals. This timely study on the ongoing regulatory shift in environmental policy will help investors, policymakers, firms and other stakeholders make relevant decisions.
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Salini Devi Rajendran, Nitty Hirawaty Kamarulzaman and Azmawani Abd Rahman
This paper aims to examine the influence of supply chain management by assessing the relationship between internal and external integration and small and medium enterprises (SMEs…
Abstract
Purpose
This paper aims to examine the influence of supply chain management by assessing the relationship between internal and external integration and small and medium enterprises (SMEs) owners’ Islamic practices in enhancing halal supply chain integrity (HSCI) and SMEs’ performance.
Design/methodology/approach
A total of 176 SMEs were surveyed using a self-administered questionnaire. The sample was selected using convenience sampling from two major halal exhibition events in Malaysia. Structural equation modeling (SEM) was used to analyze the data and test the hypotheses.
Findings
The findings showed that supply chain integration (SCI), Islamic human capital and HSCI have a significant relationship with SMEs’ performance. It was also found that HSCI mediated the relationship between both SCI and Islamic human capital and SMEs’ performance.
Practical implications
SME owners or managers should be committed to developing the internal processes within the organization and strategizing to link these processes with the external processes to obtain the full benefits of integration. Furthermore, as the upper management, owners and managers must understand the supply chain challenges, priorities and practices thoroughly, as they are responsible for Islamic business ethics. They should work to provide support to increase religious orientation in the SMEs, as this would likely enhance all other factors.
Originality/value
This is one of the few types of research to use HSCI as a mediator in halal food studies in addition to improving SMEs’ performance.
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Vineeta Kumari, Dharen Kumar Pandey, Satish Kumar and Emma Xu
The study aims to examine the impact of six events related to the escalating Indo-China border conflicts in 2020 on the Indian stock market, including the role of firm-specific…
Abstract
Purpose
The study aims to examine the impact of six events related to the escalating Indo-China border conflicts in 2020 on the Indian stock market, including the role of firm-specific variables.
Design/methodology/approach
This study employs an event-study method on a sample of 481 firms from August 23, 2019 to March 3, 2022. A cross-sectional regression is employed to examine the association between event-led abnormal returns and firm characteristics.
Findings
The results show that, although the individual events reflect heterogeneous effects on stock market returns, the average impact of the event categories is negative. The study also found that net working capital, current ratio, financial leverage and operating cash flows are significant financial performance indicators and drive cumulative abnormal returns. Further, size anomaly is absent, indicating that more prominent firms are resilient to new information.
Research limitations/implications
The ongoing conflict between Russia and Ukraine is an example of how these disagreements can devolve into a disaster for the parties to the war. Although wars have an impact on markets at the global level, the impacts of border disputes are local. Border disputes are ongoing, and the study's findings can be used to empower investors to make risk-averting decisions that make their portfolios resilient to such events.
Originality/value
This study provides firm-level insight into the impacts of border conflicts on stock markets. The authors compare the magnitude of such impacts on two types of events, namely injuries and casualties due to country-specific border tensions and a government ban on Chinese apps. Key implications for policymakers, stakeholders and academics are presented.
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Shailesh Rastogi, Jagjeevan Kanoujiya and Kuldeep Singh
Environmental concerns are gaining traction with every passing day. Moreover, post Covid 19, similar to many sectors, the tourism sector is also trying to revive itself…
Abstract
Purpose
Environmental concerns are gaining traction with every passing day. Moreover, post Covid 19, similar to many sectors, the tourism sector is also trying to revive itself. Theoretically, the environment and tourism complement each other. However, empirical vetting is not adequate. This study is motivated to determine how the environment impacts tourism. In addition, the moderating influence of the growth rate of the nations on the impact of the nations on tourism is also investigated.
Design/methodology/approach
We have gathered clear and balanced panel data on tourism and the environment for 106 nations for 10 years. The difficulty in measuring environment status is managed by estimating environment efficiency using Data Envelopment Analysis (DEA).
Findings
Surprisingly, we find a significant impact of environmental efficiency on inbound tourism across the nations used in the study. Such findings are rarely observed in the earlier studies as very less studies look for the association of environmental efficiency with tourism. However, the findings are supportive of the principles of the Faro convention and ICOMOS (“International Council on Monuments and Sites”) charter to promote environmental quality for tourism attraction. The current research findings can change the future course of action regarding the environment for tourism. The findings of the study establish financial materiality for the tourism sector. These findings give a boost to the theory of sustainable tourism.
Research limitations/implications
The study’s inconsistent outcome (as the literature finds significant association) regarding the insignificant influence of GDP growth rate is a limitation of the study. The insignificant association needs to be further investigated. This limitation can be a future scope on the topic.
Originality/value
The authors do not find many studies on the environment’s impact on inbound tourism. In addition, a few studies on the topic, which exist provide contradictory outcomes. Above all, the literature does not observe the moderation of the GDP growth rate on the environment’s impact on inbound tourism. This lack of studies in literature, to the best of our knowledge, is the unique contribution of the current study.
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Ashish Rastogi and Harish Kumar Singla
The purpose of this study is to examine the effect of job, organizational and personal factors on exhaustion (EXH) in early career construction professionals in India.
Abstract
Purpose
The purpose of this study is to examine the effect of job, organizational and personal factors on exhaustion (EXH) in early career construction professionals in India.
Design/methodology/approach
A survey questionnaire was developed and circulated among early career construction professionals in India. The responses on job, organizational and personal demands (role ambiguity, stakeholder management and work-family conflict respectively) and job, organizational and personal resources (job autonomy (JA), perceived organizational support and emotional intelligence respectively) were sought using standard measures. The valid data (N = 187) thus collected, was analysed using structural equation modelling (SEM).
Findings
The study finds that in terms of demands, stakeholder management and work family conflict have a significant positive effect on EXH. In other words, EXH level increases with the increase in these two. With respect to resources, JA has a negative effect on EXH. This implies that as JA increases, the EXH level goes down.
Originality/value
This study is the first to examine factors causing EXH in early career construction professionals in India. This study is significant on two counts. First, it proposes a comprehensive theoretical model based in job demands-resources (JD-R) theory customized for construction sector. Second, the empirical examination is situated in the Indian context, which remains underexplored despite its economic and demographic significance.
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Giulia Zennaro, Giulio Corazza and Filippo Zanin
The effects of integrated reporting quality (IRQ) have been debated in increasing empirical studies. Several IRQ measures, different theoretical approaches and multiple contexts…
Abstract
Purpose
The effects of integrated reporting quality (IRQ) have been debated in increasing empirical studies. Several IRQ measures, different theoretical approaches and multiple contexts have been adopted and investigated, leading to mixed results. By using the meta-analytic technique, this study aims to contribute to the accounting literature, reconciling the conflicting results on the effects of IRQ and providing objective conclusions to complement narrative literature reviews.
Design/methodology/approach
A sample of 45 empirical papers from 2013 to 2022, with 653 effect sizes, was used to assess the effects associated with IRQ. The papers were clustered into five groups (market reaction, financial performance, cost of capital, financial analysts’ properties and managerial decisions) based on the different consequences of IRQ investigated in the primary studies. A random-effects meta-regression model was used to explore all sources of heterogeneity together.
Findings
The meta-regression results confirm that IRQ positively influences firms’ market valuation and financial performance and hampers opportunistic managerial behaviour by improving corporate transparency, mitigating information asymmetry and encouraging accountability. Moreover, differences in the study characteristics affect the strength of the relationship object of interest.
Originality/value
Through meta-analysis, this study provides a broader overview of the effects of IRQ by enhancing the generalisability of the findings. The results also pave the way for additional evidence on the outcome variables affected by the quality of integrated disclosure.
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Maryam Asadi, Gholamreza Mansourfar, Saeid Homayoun and Hamzeh Didar
This paper aims to investigate how integrated reporting quality (IRQ), as well as comprehensive disclosure score (CDS) (i.e. incorporating integrated and sustainable reporting…
Abstract
Purpose
This paper aims to investigate how integrated reporting quality (IRQ), as well as comprehensive disclosure score (CDS) (i.e. incorporating integrated and sustainable reporting quality), impacts value creation differently between companies operating under mandatory versus voluntary adoption of these reporting frameworks.
Design/methodology/approach
The sample comprises 1,195 firm-year observations (international data set) from 2018 to 2022, which are divided into groups based on mandatory vs voluntary adoption of the international integrated reporting framework (IIRF) and Sustainability Accounting Standards Board (SASB). Furthermore, regression analysis is used in the analyses.
Findings
The findings revealed a significant and positive relationship between IRQ and value creation on a global scale. In addition, unlike voluntary adoption of the IIRF, mandatory adoption of it showed a significant and positive relationship between IRQ and value creation. Furthermore, an increase in the CDS had a greater impact on value creation compared to IRQ. Finally, in contrast to companies with voluntary adoption of both IIRF and SASB, companies with mandatory adoption of them exhibited a significant and positive relationship between these reports and value creation.
Practical implications
The findings have practical implications for various stakeholders. First, by enhancing the awareness and understanding of integrated reporting and sustainability reporting among users, these results can facilitate more informed economic decision-making and enable a more accurate assessment of a company's potential for value creation. Second, these findings can contribute to the development of more effective and tailored reporting guidelines that align with the nuances of value creation dynamics in different contexts. Ultimately, this research can lead to improvements in reporting practices and regulatory frameworks, benefiting both companies and their stakeholders.
Social implications
The study's social implications are significant as it offers insights into the global debate surrounding the adoption of the IIRF and the objectives of the merger involving the Value Reporting Foundation and the International Financial Reporting Standards Foundation. The findings provide a concrete basis for evaluating the value of adopting the IIRF and inform discussions on the future of reporting standards and practices.
Originality/value
Furthermore, it stands as one of the pioneering endeavors to investigate the value creation aspects of CDS. These unique aspects make a substantive contribution by expanding the frontiers of knowledge in the realm of corporate reporting and financial implications, offering novel insights and opportunities for further research in this crucial domain.
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Bita Afsharinia and Anjula Gurtoo
The COVID-19 pandemic, starting in early 2020, has significantly compromised global commitment to the 2030 Agenda for Sustainable Development Goals, notably affecting areas like…
Abstract
The COVID-19 pandemic, starting in early 2020, has significantly compromised global commitment to the 2030 Agenda for Sustainable Development Goals, notably affecting areas like food security (SDG 2) and the economy (SDG 8). Informal economy platform employees have been among the most impacted. In India alone, 7.7 million workers in the informal economy have suffered, with nearly 90% of unskilled and semi-skilled workers experiencing income loss. The widespread income loss among a significant portion of the workforce has led to disruptions in demand and supply mechanisms, thereby worsening food insecurity. This study investigates the determinants of the food consumption score (FCS) to serve as an indicator of food security within informal-economy households. A longitudinal survey of 2,830 unskilled and semi-skilled employees, including drivers, domestic workers, delivery personnel, beauticians, street vendors, small business owners, and self-employed individuals, was conducted. The findings show a significant shift towards borderline household FCS during the pandemic, with a sharp decline in daily consumption of dairy products and non-vegetarian items, indicating reduced protein intake. Consuming two or fewer meals per day increases the likelihood of poor FCS, highlighting the need for systematic interventions to ensure three regular meals per day. Moreover, insufficient government support for adequate food intake in informal economy households calls for redesigned assistance programs. Policymakers should prioritize practical solutions, such as community-based food distribution centers and mobile food vans, to ensure the delivery of nutritious food to vulnerable populations in Bangalore.
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Foziya Farooq, Sheikh Sajid Mohammad, Nazir Ahmed Nazir and Parvez Ahmad Shah
This study aims to systematically review the literature on happiness at work (HAW) by analysing existing studies, identifying relevant themes in HAW research and evaluating the…
Abstract
Purpose
This study aims to systematically review the literature on happiness at work (HAW) by analysing existing studies, identifying relevant themes in HAW research and evaluating the methodologies used in the literature.
Design/methodology/approach
The study used a systematic review process, following the guidelines and principles outlined in the updated Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement 2020 and checklist. Articles were collected from six databases: Emerald insight, Taylor & Francis Online, Science Direct, Wiley Online Library, Springer and MDPI. Subsequently, systematic review was performed on 41 HAW articles published in 29 different journals between 2010 and 2022. The authors only considered articles that were either indexed by Scopus or in the Academic Journal Guide (AJG) list.
Findings
The study identified six major themes, assessed the operationalisation of HAW and analysed the research methodologies and statistical tools used in the sample studies. Majority of the articles discussed the antecedents of HAW followed by the HAW as a mediator. There is a high heterogeneity in the operationalisation of HAW in the reviewed articles. Moreover, majority of the studies have prioritised service sectors over the industrial sectors.
Originality/value
This study represents the first comprehensive review of the existing literature on HAW by using a systematic review methodology.
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