bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modelling the barriers of weather index insurance service adoption integrating expert mining and ISM Fuzzy-MICMAC
Authors: Singh Pankaj , Agrawal Gaurav 
Published: November 2021

PurposeThe purpose of this study is to explore and prioritize the barriers that affect weather index-insurance (WII) adoption among customers by utilizing interpretive structural modelling (ISM) and fuzzy-MICMAC.Design/methodology/approachThis paper utilized the combined approach in two phases. In first phase comprehensive literature study and expert mining method have been performed to identify and validate WII adoption barriers. In second phase, ISM has been utilized to examine the direct relationships among WII adoption barriers in order to develop a structural model. Further, fuzzy-MICMAC method has been utilized to analyse indirect relationships among barriers to explore dependence and driver power.FindingsThis study has identified 15 key barriers of WII adoption among customers and developed a structural model based on binary direct relationship using ISM. Later, the outcomes of ISM model have been utilized for analysing the dependence and driver power of each WII adoption barriers in cluster form using fuzzy-MICMAC. The customer awareness related WII adoption barrier are mainly at the top level, WII demand related barriers are in the centre and WII supply related barriers at the bottom level in ISM model.Practical implicationsThe findings offered important insights for WII insurers to understand mutual relationships amongst WII adoption barriers and assists in developing strategy to eliminate dominant key barriers in order to enhance their customer base.Originality/valueBased on best of author's knowledge this paper firstly integrates the ISM fuzzy-MICMAC method into identification and prioritization of barriers that affects WII adoption among customers.
Impact of news sentiment and topics on IPO underpricing: US evidence
Authors: Fedorova Elena , Druchok Sergei , Drogovoz Pavel 
Published: November 2021

Purpose
The goal of the study is to examine the effects of news sentiment and topics dominating in the news field prior to the initial public offering (IPO) on the IPO underpricing.

Design/methodology/approach
The authors’ approach has several steps. The first is textual analysis. To detect the dominating topics in the news, the authors use Latent Dirichlet allocation. The authors use bidirectional encoder representations from transformers (BERT) pretrained on financial news corpus to evaluate the tonality of articles. The second is evaluation of feature importance. To this end, a linear regression with robust estimators and Classification and Regression Tree and Random Forest are used. The third is data. The text data consists of 345,731 news articles from Thomson Reuters related to the USA in the date range from 1 January 2011 to 31 May 2018. The data contains all the possible topics from the website, excluding anything related to sports. The sample of 386 initial public offerings completed in the USA from 1 January 2011 to 31 May 2018 was collected from Bloomberg Database.

Findings
The authors found that sentiment of the media regarding the companies going public influences IPO underpricing. Some topics, namely, the climate change and environmental policies and the trade war between the US and China, have influence on IPO underpricing if they appear in the media prior to the IPO day.

Originality/value
The puzzle of IPO underpricing is studied from the point of Narrative Economics theory for the first time. While most of the works cover only some specific news segment, we use Thomson Reuters news aggregator, which uses such sources The New York Post, CNN, Fox, Atlantic, The Washington Post ? Buzzfeed. To evaluate the sentiment of the articles, a state-of-the-art approach BERT is used. The hypothesis that some common narratives or topics in the public discussion may impose influence on such example of biased behaviour like IPO underpricing has also found confirmation.
A simulation-based multi-objective genetic optimization framework for efficient building design in early stages: application for Vietnam's hot and humid climates
Authors: Le Gia Thanh Truc , Dang Hoang-Anh , Dinh Van-Binh , Tong Minh Quan , Nguyen Trung Kien , Nguyen Hong Hanh , Nguyen Dinh Quang 
Published: November 2021

PurposeIn many countries, innovation in building design for improving energy performance, reducing CO2 emissions and minimizing life cycle cost has received much attention for sustainable development. This paper investigates the importance of optimization tools for enhancing the design performance in the early stages of Vietnam's cooling-dominated buildings in hot and humid climates using an integrated building design approach.Design/methodology/approachThe methodology of this study exploits the non-dominated sorting genetic algorithm (NSGA-II) optimization algorithm coupled with building simulation to research a trade-off between the optimization of investment cost and energy consumption. Our approach focuses on the whole optimization problem of thermal envelope, glazing and energy systems from preliminary design phases. The methodology is then tested for a case study of a non-residential building located in Hanoi.FindingsThe results show a considerable improvement in design performance by our method compared to current building design. The optimal solutions present the trade-off between energy consumption and capital cost in the form of a Pareto front. This helps architects, engineers and investors make important decisions in the early design stages with a large view of impacts of all factors on energy performance and cost.Originality/valueThis is one of the original research to study integrated building design applying the simulation-based genetic optimization algorithm for cooling-dominated buildings in Vietnam. The case study in this article is for a non-residential building in the north of Vietnam but the methodology can also be applied to residential buildings and other regions.
Social identity, rationality, creativity
Authors: Kanzola Anna-Maria , Papaioannou Konstantina , Petrakis Panagiotis E. 
Published: November 2021

PurposeThis study examines the relationship between rationality and creativity by means of social identity theory for the Greek society (2019–2020).Design/methodology/approachThe outline of the social identity was given through self-categorization via a distributed questionnaire. The types of behavior (rational, nonrational and loss-averse) were determined by using questions based on the Allais paradox. Principal components analysis (PCA) is used to extract the causal relationships.FindingsThe study findings demonstrate that rational individuals are more prompt to creative personality than nonrational individuals. Rational individuals are motivated to pursue creativity through life-improvement goals. Loss-averse individuals are driven through the contradictive incentive of adventure-seeking behavior without, however, being willing to easily give up their established assets.Originality/valueThis article contributes by explaining creativity among rational, nonrational and loss-averse individuals as a product of social identity theory. This contributes to the literature, by proposing that the application of social theories in economics could constitute a different foundation for economics. This refers to the notion of the social microfoundations of the political economy and macroeconomics.
Structural analysis of factors affecting the housing in Tabriz metropolis: a future study approach
Authors: Karami Sonya , Hajisharifi Arezoo , Zarghamfard Moslem , Armaqan Simin 
Published: November 2021

Purpose
The purpose of this study is to survey the quantitative and qualitative indicators of housing in Tabriz and its comparison with urban areas of the province and the country (Iran) and identify the key indicators on the future of the housing situation in the Tabriz metropolis.

Design/methodology/approach
Statistical yearbooks, the censuses of different periods and the documentary-environmental scanning methods are used to collect the data and matrix of crossed impact multiplications applied to a classification (MICMAC) software is used for analyzing the data.

Findings
The results show that during the years 1976 to 2016, the quantitative and qualitative indicators of housing in Tabriz have improved. Also, by obtaining the environmental scanning method, 61 factors were selected in 5 areas that have the greatest impact on the future of housing in the Tabriz metropolis. Finally, 11 key factors that have the most impact on the future of housing in the Tabriz metropolis were selected. These factors are economic growth, inflation, household income and savings, land and housing prices, sanctions, exchange rate changes, bank facilities, unemployment rates, political changes, purchasing power and management style. Among these factors, economic factors play the most important role, and political-managerial factors come in the next place.

Originality/value
This paper proves two issues, namely, the housing market in Iran, especially in the metropolis of Tabriz is strongly influenced by macroeconomic factors and the political situation of society and slogans of housing market reform without fundamental changes and reforms in both economic and political sectors of society are demagogic and illogical.
When the going gets tough, the tough are let go? The effects of political ideology on leader tenure in organisations
Authors: Zhang Teng , Soderberg Andrew T. 
Published: November 2021

Purpose
Drawing on moral foundations theory (MFT), this paper aims to examine the relationship between community-level political ideology, organisational performance and leader tenure by proposing and testing an “ideology-authority hypothesis” wherein political ideology moderates the relationship between organisational performance decline and leader tenure in organisations.

Design/methodology/approach
The authors used archival data pertaining to the performance of teams from the National Basketball Association (NBA), the tenure of the head coaches and the voting record of the communities in which the teams are located. The authors used hierarchical linear modelling (HLM) to test the relationships among these variables at multiple levels.

Findings
The results provided empirical support for the “ideology-authority hypothesis”. Specifically, the magnitude of team winning percentage decrease from the previous season is positively associated with the tenure of the head coach in teams located in more conservative communities but not in teams located in more liberal communities.

Originality/value
This study examines leadership stability and change by highlighting the moral foundation of authority/subversion. The findings also illustrate the importance of a community-level variable – the general political climate of the community in which an organisation is embedded – in organisational decision-making.
A scoping review of occupational therapy interventions in the treatment of people with substance use disorders
Authors: Ryan Deirdre Anne , Boland Pauline 
Published: November 2021

Purpose
Diagnosis of substance use disorders and addictive behaviours are growing worldwide. It is timely to examine and collate literature on the nature of occupational therapy intervention in this field, to increase understanding of current practice and inform future directions. The purpose of this paper is to source and synthesise literature on occupational therapy interventions used in the treatment of people experiencing addiction.

Design/methodology/approach
Four databases were searched in August 2019. A total of 597 titles were screened, and 18 studies with varying methods met inclusion criteria. A narrative synthesis of the included literature was arranged into themes to summarise key findings.

Findings
Findings were grouped into three themes about occupational therapy provision to people experiencing addiction: single occupation focused intervention; skills training (including sub-themes on daily living skills and vocational skills); and establishing a community-based sober routine.

Research limitations/implications
Further research on this topic should focus on efficacy of treatments and build on current findings to develop more rigorous research with appropriate sample sizes to support evidence-based practice.

Originality/value
This study presents a synthesis of how occupational therapy interventions have been used to treat people experiencing addiction issues. Findings indicate occupational therapy appears to fit well within addiction treatment and assert that occupational therapy is most supportive when interventions go beyond the teaching of skills alone to prioritise occupational engagement and client centred practice.
Celebrating IJPDLM's 50th anniversary: a reflection on its contributions and future directions
Authors: Wong Chee Yew 
Published: November 2021

PurposeThis article celebrates the 50th anniversary of IJPDLM, reflects on the contribution of IJPDLM to the field of logistics and supply chain management (LSCM) and discusses future directions for the journal.Design/methodology/approachDescriptive analysis of manuscripts received and accepted by IJPDLM during 2015–2019 is used to provide an overview of the journal. Content analysis of selected articles is used to highlight important contributions of the journal. Changes made since 2020 are highlighted to inform future directions of IJPDLM. Invited articles are discussed and used to clarify future directions.FindingsIJPDLM has made tremendous progress in informing and shaping the field of LSCM. Key issues addressed include sustainability and reverse logistics, omni-channel, e-commerce, retail logistics, risk, resilience, volatility, and complexity and digital technology innovation. The journal has expanded the use of methods beyond the typical qualitative and quantitative methods to explore the use of design science, experiment, conjoint analysis, qualitative comparative analysis, narrative analysis. The invited articles provide (1) a historical reflection of the purpose of the journal when it was launched, (2) new guidance on how to develop theories using literature review and grounded theories and (3) understanding of startups and supply chain ecosystems.Practical implicationsSome exemplar articles are highlighted to explain how IJPDLM informs LSCM managers, companies and policy makers.Originality/valueThis article explains the recent development and sets future directions for the LSCM field.
Moderating effects on sustainability reporting and firm performance relationships: a meta-analytical review
Authors: Prashar Anupama 
Published: November 2021

PurposeThe past sustainability literature on the effects of nonfinancial disclosures on a firm's performance is highly fragmented. Thus, the authors raise the following research questions to test potential differences: Is sustainability reporting (SR) based on the Global Reporting Initiative (GRI) or other systematic reporting framework associated with firm performance? Does quality or level of SR impact firm performance? Do firm-, industry- and country-level factors moderate the effect of SR on firm performance? Does the presence of publication bias affect this relationship?Design/methodology/approachMeta-analysis technique suggested by Hedges & Olkin (1985) was used to analyze a sample of 98 effect sizes reported in 60 studies published between 2010 and 2020 studying SR–performance associations. Meta-regression and subgroup analyses were used to investigate the moderating variables accounting for this heterogeneity in the relationship.FindingsResults reveal that level and quality of SR influence the market-, accounting- and operational-based measures of firm performance. Meta-regression results depict that for large, matured firms, or the ones with institutional investors as board members or the ones that actively participate SR quality awards, SR translates better into firm performance. Subgroup analyses demonstrate that the SR–firm performance relationship is moderated by the corporate governance (CG) system of the country and the firm's affiliation to environmentally sensitive industries.Originality/valueThese findings extend theoretical and practical understanding on effects of corporate sustainability communications on performance.
Assessment of the effectiveness of corrective maintenance of an oil pump using the proportional intensity model (PIM)
Authors: Bacha Sidali , Bellaouar Ahmed , Dron Jean-Paul 
Published: November 2021

PurposeComplex repairable systems (CRSs) are generally modeled by stochastic processes called “point processes.” These are generally summed up in the nonhomogeneous Poisson process (NHPP) and the renewal process (RP), which represent the minimum and maximum repair, respectively. However, the industrial environment affects systems in some way. This is why the main objective of this work is to model the CRS with a concept reflecting the real state of the system by incorporating an indicator in the form of covariate. This type of model, known as the proportional intensity model (PIM), will be analyzed with simulated failure data to understand the behavior of the failure process, and then it will be tested for real data from a petroleum company to evaluate the effectiveness of corrective actions carried out.Design/methodology/approachTo solve the partial repair modeling problem, the PIM was used by introducing, on the basis of the NHPP model, a multiplicative scaling factor, which reflects the degree of efficiency after each maintenance action. Several values of this multiplicative factor will be considered to generate data. Then, based on the reliability and maintenance history of 12-year pump's operation obtained from the SONATRACH Company (south industrial center (CIS), Hassi Messaoud, Algeria), the performance of the PIM will be judged and compared with the model of NHPP and RP in order to demonstrate its flexibility in modeling CRS. Using the maximum likelihood approach and relying on the Matlab software, the best fitting model should have the largest likelihood value.FindingsThe use of the PIM allows a better understanding of the physical situation of the system by allowing easy modeling to apply in practice. This is expressed by the value which, in this case, represents an improvement in the behavior of the system provided by a good quality of the corrective maintenance performed. This result is based on the hypothesis that modeling with the PIM can provide more clarification on the behavior of the system. It can indicate the effectiveness of the maintenance crew and guide managers to confirm or revise their maintenance policy.Originality/valueThe work intends to reflect the real situation in which the system operates. The originality of the work is to allow the consideration of covariates influencing the behavior of the system during its lifetime. The authors focused on modeling the degree of repair after each corrective maintenance performed on an oil pump. Since PIM does not require a specific reliability distribution to apply it, it allows a wide range of applications in the various industrial environments. Given the importance of this study, the PIM can be generalized for more covariates and working conditions.
Modern mediators: intermediaries’ informational roles in sourcing from China
Authors: Virtanen Yuan , Salmi Asta , Qin Xiao 
Published: November 2021

Purpose
Sourcing intermediaries, commonly known as agents or trading companies, represent a useful organisational solution for assisting companies to manage supply risks and to overcome the liability of foreignness. However, the landscape of global business is experiencing rapid and fundamental changes, which leads us to ask whether intermediaries will continue to play a role in global sourcing. This paper aims to understand how sourcing intermediaries ensure a lasting position in the changing setting of global sourcing and information sharing.

Design/methodology/approach
This paper investigates the operations of both Chinese and Nordic (Finnish and Swedish) intermediaries in sourcing from China by analysing qualitative data collected over a period of four years.

Findings
Through the lens of information asymmetry, this paper identifies four distinct informational roles that are used by intermediaries to reduce information asymmetry between suppliers and buyers located in different countries. The paper also examines intermediaries’ signalling activities under these roles in a cross-border triad.

Originality/value
The paper contributes to the scientific debate on the usefulness of intermediaries by underlining intermediaries’ informational advantage, which provides a new explanation for the survival of intermediaries in a rapidly changing business context. Additionally, this study contributes to research on intermediation strategies by empirically examining both Chinese and Western intermediaries, highlighting the importance of institutional contexts in affecting intermediaries’ informational roles.
Rent index forecasting through neural networks
Authors: Xu Xiaojie , Zhang Yun 
Published: November 2021

PurposeChinese housing market has been growing fast during the past decade, and price-related forecasting has turned to be an important issue to various market participants, including the people, investors and policy makers. Here, the authors approach this issue by researching neural networks for rent index forecasting from 10 major cities for March 2012 to May 2020. The authors aim at building simple and accurate neural networks to contribute to pure technical forecasting of the Chinese rental housing market.Design/methodology/approachTo facilitate the analysis, the authors examine different model settings over the algorithm, delay, hidden neuron and data spitting ratio.FindingsThe authors reach a rather simple neural network with six delays and two hidden neurons, which leads to stable performance of 1.4% average relative root mean square error across the ten cities for the training, validation and testing phases.Originality/valueThe results might be used on a standalone basis or combined with fundamental forecasting to form perspectives of rent price trends and conduct policy analysis.
Reflections on systemic barriers for ethnic minorities in accessing community-based forensic services for people with intellectual disabilities and autism
Authors: Coleman Mercedez 
Published: November 2021

Purpose
Community-based forensic support services (CBFSSs) were commissioned nationally by National Health Service (NHS) England in 2017 in response to “Building the Right Support” (NHS England, 2015). CBFSSs provide multidisciplinary support to adults with intellectual disabilities and/or autism who are in (or at risk of) contact with the criminal justice system and those transitioning from inpatient secure care. This paper aims to highlight potential systemic barriers to accessing community forensic services for people from an ethnic minority background. in one CBFSSs in Northern England.

Design/methodology/approach
This paper provides preliminary reflections on potential systemic barriers within the criminal justice system and health-care services that have implications for service users from ethnic minority backgrounds accessing CBFSSs.

Findings
There is a paucity of data, policy and literature that focuses on people with intellectual disabilities and autism with forensic needs from ethnic minority backgrounds. This lack of data obstructs further reforms to meet the needs of this population.

Originality/value
CBFSSs are commissioned across England. While some regional variation is to be expected, services should be aware of the systemic barriers people from ethnic minority backgrounds within their region face. These barriers should be considered and addressed when evaluating service efficacy and delivery. Recommendations are made to review and address issues of under-representation of ethnic minorities within CBFSSs.