bluuebunny/crossref_metadata_2025 huggingface dataset:
Economic policy uncertainty and investment-cash flow sensitivity: evidence from India
Authors: Gupta Gaurav , Mahakud Jitendra , Singh Vishal Kumar
Published: July 2022

Purpose

This study examines the impact of economic policy uncertainty (EPU) on the investment-cash flow sensitivity (ICFS) of Indian manufacturing firms.

Design/methodology/approach

This study uses the fixed-effect method to investigate the effect of EPU on ICFS from 2004 to 2019.

Findings

This study finds that EPU increases ICFS, which is more (less) during the crisis (before and post-crisis) period. The authors also find that the effect of EPU on ICFS is more for smaller, younger and standalone (SA) firms than the larger, matured and business group affiliated (BGA) firms. This study also reveals that EPU reduces corporate investment (CI). Further, the authors find that cash flow is more significant for the investment of financially constrained firms and the negative effect of EPU is more for these firms.

Research limitations/implications

This study considers the Indian manufacturing sector. Therefore, this study can be extended by analyzing the relationship between EPU and ICFS for the service sector.

Practical implications

First, this study can be useful for corporates, academicians and government bodies to understand the effect of EPU on ICFS and CI. Second, this study will help corporates to focus on internal funds to finance corporates' investment during the crisis period because EPU increases the cost of external finance which may increase ICFS and reduce CI. Third, lending agencies, investors and stakeholders should also focus on the firm's nature, ownership, size and age because these factors play a crucial role to reduce or increase the negative effect of EPU on ICFS. Fourth, the Government should make appropriate policy measures in terms of concessional interest rates to increase the easy availability of external finance for SA, small size, and young firms to reduce the negative effect of EPU on CI because these firms are considered as more financially constrained firms.

Originality/value

This study adds new inputs to the current literature of EPU in several ways. First, this study is one of the main studies focused on the relationship between EPU and ICFS (CI). Especially in emerging countries like India, examining this relationship extends previous research. Second, this study also examines the impact of EPU on ICFS for BGA, SA, small, large, matured and young firms as well as crisis and non-crisis periods. Third, this study uses the sample of the Indian manufacturing sector which has emerged the qualities to become a global manufacturing hub and attracting global investors. Therefore, examining the effect of EPU on ICFS for these firms will be more interesting.
Impact of merger on stock returns and economic value added (EVA) of the acquiring firms: a study from Indian corporate sector
Authors: Gulati Puja Aggarwal , Garg Sonia
Published: July 2022

Purpose

This paper attempts to examine the impact of merger on the stock returns and economic value added (EVA) of acquiring firms to know if the mergers are successful corporate restructuring strategies for the firms.

Design/methodology/approach

In total, 108 Indian firms are studied using paired sample t-test and Wilcoxon signed rank test for comparing the EVA of acquiring firms in short, medium and long term after merger. The effect of merger announcements on stock returns is analyzed by way of event study. An event window of −20 to +20 is taken and an estimation window of 256 (-276 -20) days is used in the study.

Findings

The authors find that mergers lead to significant improvement in the EVA of acquiring firms. However, the increase in financial performance and EVA is witnessed only in long term. The authors did not find any significant impact of merger announcement on the stock returns of acquiring firms.

Originality/value

The study is a first of study's kind, which evaluates both short-term (using event study methodology) and long-term (using EVA) impact of value addition to an acquirer after Merger & Acquisition (M&A). The study contributes to existing literature on the signaling theory of announcement of M&As and synergy gain theory of completed M&As by providing evidence from the context of an emerging market like India.
Sustainability and Quality Management: has EFQM fostered a Sustainability Orientation that delivers to stakeholders?
Authors: de Menezes Lilian M. , Escrig-Tena Ana B. , Bou-Llusar Juan C.
Published: July 2022

Purpose

As a Quality Management (QM) framework, the European Foundation for Quality Management (EFQM) Excellence Model has stakeholder management at its core. In EFQM (2012), based on which assessments were made until 2021, “creating a sustainable future” was a fundamental principle, but how it translated to a Sustainability Orientation and delivered to stakeholders remains questionable. This study aims to investigates the Sustainability Orientation within EFQM (2012) and its associations with Results for stakeholders.

Design/methodology/approach

Longitudinal assessments of recognized-for-excellence organizations by a partner of EFQM are considered. Using factor analysis, scores on the sub-criteria that defined “creating a sustainable future” are investigated, and a Sustainability Orientation is inferred. Panel regressions and structural equation modeling assess the correlations between Sustainability Orientation and Results. A qualitative analysis follows, where sustainability reports from role-models within this population are text mined to examine whether and how they reflected the guidance in EFQM (2012) concerning “creating a sustainable future”.

Findings

Direct and indirect positive associations between the Sustainability Orientation implied by EFQM (2012) and stakeholder-performance are confirmed. Yet, inferences from text mining of reported priorities of role-models of excellence illustrate that EFQM (2012) might have driven different strategies towards sustainability.

Originality/value

Despite conceptualizations that the EFQM model embeds a Sustainability Orientation, to the best of the researchers’ knowledge, its existence and likely impact remain to be examined. By combining longitudinal statistical analysis, structural equation models and text mining, consistent insights on the link between Sustainability Orientation and organizational performance are obtained.
How perceived utilitarian and hedonic value influence online impulse shopping in India? Moderating role of perceived trust and perceived risk
Authors: Lavuri Rambabu , Jindal Abhinav , Akram Umair
Published: July 2022

Purpose

The study aims to explore the impact of perceived utilitarian and hedonic value (PHV) on shopper attitude and impulsive online purchasing using the technology acceptance model’s moderating role of perceived trust and risk.

Design/methodology/approach

Convenience sampling was used to collect primary data from 408 Indian online shoppers, and structural equation modeling was used to analyze the data.

Findings

The results indicated that cognitive absorption improved perceived usefulness (PU) and ease of use. Similarly, perceived ease of use influenced PU and PHV significantly. PU influenced utilitarian value positively. Perceived hedonic and utilitarian values significantly influenced attitude, and shoppers’ online buying attitudes strongly impacted impulsive online shopping. Finally, the trust had shown to substantially moderate shoppers’ attitudes toward impulsive online buying, whereas perceived risk had no such effect.

Practical implications

This research reveals a high degree of hedonic and utilitarian values, as well as low-risk features that might improve consumer attitudes about online impulsive behavior.

Originality/value

This research will aid e-retailers in building new strategies and plans to increase sales volume and strengthen relationships with online customers via the provision of trust and security throughout the purchase process.
Does the COVID-19 pandemic change food consumption and shopping patterns? Evidence from Indonesian urban households
Authors: Toiba Hery , Efani Anthon , Rahman Moh Shadiqur , Nugroho Tri Wahyu , Retnoningsih Dwi
Published: July 2022

Purpose

This study investigate changes in food consumption and shopping patterns during the COVID-19 pandemic.

Design/methodology/approach

The authors collected cross-sectional data from 507 households in three Indonesian cities, i.e. Surabaya, Surakarta and Bogor, via an online survey and analysed the data using non-parametric tests: the U-Mann Whitney test, the Kruskal–Wallis test and the ordered probit model.

Findings

The results indicate that, during the pandemic, people 1) avoided eating out in a restaurant or cafeteria to reduce transmission risk and cooked at home instead; 2) stocked food products to minimise store visits; 3) chose a healthier diet including fruits and vegetables; and 4) wasted less food. These new trends could be linked to the socio-demographics, i.e. age, education, marital status and income level.

Originality/value

This research was conducted during the peak of the COVID-19 outbreak in Indonesia between July and August 2021, so the findings could inform food-related long-term policymaking and responses to a crisis.

Peer review

The peer review history for this article is available at:https://publons.com/publon/10.1108/IJSE-11-2021-0666.
Being creative under the Covid-19 pandemic crisis: the role of effective inter-organizational relationship management
Authors: Leonidou Leonidas C. , Aykol Bilge , Fotiadis Thomas A. , Marinova Svetla , Christodoulides Paul
Published: July 2022

Purpose

Anchored on the broaden-and-build theory and the circumplex model, the authors develop and test a conceptual model in which satisfaction, influenced by an effective handling of communication, cooperation, conflict, and opportunism, is set as the predictor of inter-partner creativity in the relationship between hotels and their foreign travel agents under the Covid-19 pandemic.

Design/methodology/approach

The conceptual model was tested with data collected from 190 randomly selected hotel units located in Greece, using both online and drop-in questionnaire methods. Data were analyzed using SEM analysis.

Findings

Satisfaction with the working relationship was found to be enhanced by improving communication and cooperation, as well as by keeping conflict and opportunism at low levels. This was a strong predictor of inter-partner creativity, although less pronounced under high levels of relational distance and rigidity.

Research limitations/implications

The study should be extended to other country settings, replicated at different levels of crisis severity, and use dyadic data. Additional environmental factors could be used as boundary conditions, while our model could be expanded to include additional drivers and consequences of inter-partner creativity.

Practical implications

To generate inter-partner creativity, there is a need to maintain high levels of satisfaction through proper communication, enhanced cooperation, conflict minimization, and avoidance of opportunistic actions. Also, to better translate satisfaction into inter-partner creativity, interacting parties should keep distance at low levels, while at the same time demonstrate greater flexibility.

Originality/value

The study unveils the role of effectively managing behavioral factors in inter-firm relationships to develop creative solutions to the Covid-19 crisis challenges, an issue neglected by prior research. The study also sheds light on the contingent effects of distance and rigidity, two important factors moderating relationships under crisis. The study applies for the first time two psychological-based theories, the broaden-and-build theory and the circumplex model, to an international marketing crisis situation.
Asymmetric long-run effect of exchange rate on bilateral trade balance between USA and China
Authors: Wang Yongqing
Published: July 2022

Purpose

This paper aims to investigate asymmetric long-run effects of bilateral exchange rate on US trade imbalances with China and to examine if the effects are the same under China’s fixed and managed floating exchange rate systems.

Design/methodology/approach

The authors estimate both linear autoregressive distributed lag (ARDL) model assuming symmetric effect and nonlinear ARDL model assuming asymmetric effect of exchange rate on US trade deficit with China. The authors use data from 1994Q1 to 2005Q2 (under Chinese fixed exchange rate system), from 2005Q3 to 2021Q3 (under Chinese managed floating exchange rate regime), and from 1994Q1 to 2021Q3 (overall data).

Findings

The Chow test indicates 2005Q3 is a structure break point. Further, the results suggest the effects of bilateral exchange rate on US trade deficit with China are not the same under different exchange rate systems. The asymmetric long-run effect of bilateral exchange rate does exist. The results also demonstrate the depreciation of Chinese currency will not significantly affect US trade imbalances with China.

Research limitations/implications

Based on the results, the Chinese Government should embrace a more transparent and flexible exchange rate system. It will not significantly hurt Chinese trade balance, but it will help to reduce the tension between the USA and China.

Originality/value

All previous literature (except two papers) related to the effect of Chinese exchange rate on US trade deficit with China assume the effect is symmetric, and all (except one) use data under different Chinese exchange rate systems. To the best of the authors’ knowledge, this is the first paper that studies the possible asymmetric long-run effect of bilateral exchange rate under different Chinese exchange rate regimes.
Predicting sentiment and rating of tourist reviews using machine learning
Authors: Puh Karlo , Bagić Babac Marina
Published: July 2022

Purpose

As the tourism industry becomes more vital for the success of many economies around the world, the importance of technology in tourism grows daily. Alongside increasing tourism importance and popularity, the amount of significant data grows, too. On daily basis, millions of people write their opinions, suggestions and views about accommodation, services, and much more on various websites. Well-processed and filtered data can provide a lot of useful information that can be used for making tourists' experiences much better and help us decide when selecting a hotel or a restaurant. Thus, the purpose of this study is to explore machine and deep learning models for predicting sentiment and rating from tourist reviews.

Design/methodology/approach

This paper used machine learning models such as Naïve Bayes, support vector machines (SVM), convolutional neural network (CNN), long short-term memory (LSTM) and bidirectional long short-term memory (BiLSTM) for extracting sentiment and ratings from tourist reviews. These models were trained to classify reviews into positive, negative, or neutral sentiment, and into one to five grades or stars. Data used for training the models were gathered from TripAdvisor, the world's largest travel platform. The models based on multinomial Naïve Bayes (MNB) and SVM were trained using the term frequency-inverse document frequency (TF-IDF) for word representations while deep learning models were trained using global vectors (GloVe) for word representation. The results from testing these models are presented, compared and discussed.

Findings

The performance of machine and learning models achieved high accuracy in predicting positive, negative, or neutral sentiments and ratings from tourist reviews. The optimal model architecture for both classification tasks was a deep learning model based on BiLSTM. The study’s results confirmed that deep learning models are more efficient and accurate than machine learning algorithms.

Practical implications

The proposed models allow for forecasting the number of tourist arrivals and expenditure, gaining insights into the tourists' profiles, improving overall customer experience, and upgrading marketing strategies. Different service sectors can use the implemented models to get insights into customer satisfaction with the products and services as well as to predict the opinions given a particular context.

Originality/value

This study developed and compared different machine learning models for classifying customer reviews as positive, negative, or neutral, as well as predicting ratings with one to five stars based on a TripAdvisor hotel reviews dataset that contains 20,491 unique hotel reviews.
The impact of eWOM source credibility on destination visit intention and online involvement: a case of Chinese tourists
Authors: González-Rodríguez M. Rosario , Díaz-Fernández M. Carmen , Bilgihan Anil , Okumus Fevzi , Shi Fangfang
Published: July 2022

Purpose

This study aims to investigate the relationships between electronic word of mouth (eWOM) source credibility, perceived risk and information usefulness and how they influence tourists’ destination visit intention and online review involvement.

Design/methodology/approach

Data for this quantitative study were collected via an online survey from 460 participants and analyzed using a partial least squares analysis.

Findings

All four dimensions of eWOM source credibility reduce travelers’ perceived risk associated with destination visits, among which homophily has the greatest influence. Lower levels of perceived risk are associated with higher perceived information usefulness, thus boosting tourists’ eWOM involvement and intention to visit a destination.

Practical implications

Results offer practical implications for how the tourism industry can exploit eWOM as an information source that consumers frequently consult. The results are also valuable for Destination Marketing Organizations, allowing them to determine what type of information promotes positive tourist attitudes and behaviors toward destinations.

Originality/value

To the best of the authors’ knowledge, this study is one of the first studies to examine the interaction between eWOM credibility, perceived risk and information usefulness and their effect on consumer behaviors in the tourism context.
Financial technology and performance in Islamic and conventional banks
Authors: Yudaruddin Rizky
Published: July 2022

Purpose

This paper aims to examine the impact of financial technology (FinTech) startups on Islamic and conventional banking performance in Indonesia.

Design/methodology/approach

Data were collected from a sample of 124 conventional and Islamic banks in Indonesia from 2004 to 2018. The two-step generalized methods of moments was used to estimate the system model.

Findings

This study finds that FinTech startups have a detrimental effect on bank performance. This study also finds that Islamic banks have low performance compared to conventional banks. However, when FinTech startups interact with Islamic banks, this paper discovers that a greater number of FinTech startups have a positive effect on the performance of Islamic banks, particularly the peer-to-peer lending category. Additionally, this paper finds that FinTech startups improve Islamic banks' performance in both normal and crisis periods.

Practical implications

This paper provides recommendations for Islamic bank management and supervisors to deal with FinTech startups during normal and crisis periods by collaborating with FinTech startups and being willing to adopt cutting-edge financial technology applications.

Originality/value

This paper provides evidence of the impact of FinTech on the performance of Islamic banks, specifically on peer-to-peer lending and payment startup during the crisis and normal periods.
The linear-nonlinear data preprocessing based hybrid (LNDH) models for wind power forecasting
Authors: Ahmadi Mehrnaz , Khashei Mehdi
Published: July 2022

Purpose

The purpose of this paper is to propose a new linear-nonlinear data preprocessing-based hybrid model to achieve a more accurate result at a lower cost for wind power forecasting. For this purpose, a decomposed based series-parallel hybrid model (PKF-ARIMA-FMLP) is proposed which can model linear/nonlinear and certain/uncertain patterns in underlying data simultaneously.

Design/methodology/approach

To design the proposed model at first, underlying data are divided into two categories of linear and nonlinear patterns by the proposed Kalman filter (PKF) technique. Then, the linear patterns are modeled by the linear-fuzzy nonlinear series (LLFN) hybrid models to detect linearity/nonlinearity and certainty/uncertainty in underlying data simultaneously. This step is also repeated for nonlinear decomposed patterns. Therefore, the nonlinear patterns are modeled by the linear-fuzzy nonlinear series (NLFN) hybrid models. Finally, the weight of each component (e.g. KF, LLFN and NLFN) is calculated by the least square algorithm, and then the results are combined in a parallel structure. Then the linear and nonlinear patterns are modeled with the lowest cost and the highest accuracy.

Findings

The effectiveness and predictive capability of the proposed model are examined and compared with its components, based models, single models, series component combination based hybrid models, parallel component combination based hybrid models and decomposed-based single model. Numerical results show that the proposed linear-nonlinear data preprocessing-based hybrid models have been able to improve the performance of single, hybrid and single decomposed based prediction methods by approximately 66.29%, 52.10% and 38.13% for predicting wind power time series in the test data, respectively.

Originality/value

The combination of single linear and nonlinear models has expanded due to the theory of the existence of linear and nonlinear patterns simultaneously in real-world data. The main idea of the linear and nonlinear hybridization method is to combine the benefits of these models to identify the linear and nonlinear patterns in the data in series, parallel or series-parallel based models by reducing the limitations of the single model that leads to higher accuracy, more comprehensiveness and less risky predictions. Although the literature shows that the combination of linear and nonlinear models can improve the prediction results by detecting most of the linear and nonlinear patterns in underlying data, the investigation of linear and nonlinear patterns before entering linear and nonlinear models can improve the performance, which in no paper this separation of patterns into two classes of linear and nonlinear is considered. So by this new data preprocessing based method, the modeling error can be reduced and higher accuracy can be achieved at a lower cost.
Structure, thermodynamics and information in complex systems
Authors: Usó Doménech José Luis , Nescolarde-Selva Josué Antonio , Lloret-Climent Miguel , Gash Hugh , Segura-Abad Lorena
Published: July 2022

Purpose

The purpose of this paper is to show that transmission of information and information storage or registration depends on structures. Structures emerge from coordinated sets of constraints. Complex systems depend on their structures to function. The temporal sequence of changes in the levels of the complex system determines its behavior. These three concepts are intimately linked with the environment. Environment, structure, function and behavior form a complex system–environment unit, which is the operational unit of existence for all open complex systems. Therefore, it becomes a point in the directional propagation of the cause, where stimulus environment becomes a Creaon, and then the Creaon becomes a Genon, becoming in turn the response to the experienced environment. The formation of structures is the main phenomenon of evolution. Evolution can also be accepted as free, in the sense that it does not cost additional deaths.

Design/methodology/approach

Mathematical and logical development of the structure and thermodynamics in complex systems.

Findings

Based on the above considerations, the authors are going to introduce two fundamental principles in Complex systems Theory: the Matthew Effect and the Principle of Sagan.

Originality/value

But as the authors’ purpose is to give a formal definition of a complex system from a totally theoretical point of view, they establish a relationship between concepts of General Systems Theory, Theory of the Environment, linguistics, Information Theory and thermodynamics.
Conflicted about online learning?: Using sentiment analysis to explore learner approach-avoidance motivation
Authors: Stanworth James O. , Yen Wan-Hsuan , Warden Clyde A.
Published: July 2022

Purpose

Student motivation underpins the challenge of learning, made more complex by the move to online education. While emotions are integral to students' motivation, research has, to date, overlooked the dualistic nature of emotions that can cause stress. Using approach-avoidance conflict theory, the authors explore this issue in the context of novel online students' responses to a fully online class.

Design/methodology/approach

Using a combination of critical incident technique and laddering, the authors implemented the big data method of sentiment analysis (SA) which results in approach tables with 1,318 tokens and avoid tables with 1,090 tokens. Using lexicon-based SA, the authors identify tokens relating to approach, avoid and mixed emotions.

Findings

The authors implemented the big data method of SA which results in approach tables with 1,318 tokens and avoid tables with 1,090 tokens. Using lexicon-based SA, the authors identify tokens relating to approach, avoid and mixed emotions. These ambivalent emotions provide an opportunity for teachers to rapidly diagnose and address issues of student engagement in an online learning class.

Originality/value

Results demonstrate the practical application of SA to unpack the role of emotions in online learner motivation.
Leadership and culture in combating corruption: a comparative analysis
Authors: Quah Jon S.T.
Published: July 2022

Purpose

This paper analyses the importance of leadership and culture in combating corruption in Hong Kong SAR, Japan, Malaysia, New Zealand, Singapore and Taiwan.

Design/methodology/approach

This paper is based on the comparative analysis of the effectiveness of the anti-corruption measures in the studies of six selected countries/regions in this special issue of Public Administration and Policy. The contributors in this special issue were invited because of their publications on combating corruption in the six countries/regions.

Findings

The critical variable ensuring the effectiveness of combating corruption is the strong political will of the leadership in changing the culture of corruption in the country/region by implementing a zero-tolerance policy toward corruption, as shown in Singapore and Hong Kong. In New Zealand’s case, leadership plays a less important role because of the population’s emphasis on equality and egalitarianism and its reliance on the Ombudsman and Serious Fraud Office to curb corruption. However, the corrupt leadership of Tanaka Kakuei in Japan, Najib Rajak in Malaysia, and Chen Shui-bian in Taiwan, demonstrates clearly their insidious impact of consolidating their kleptocratic rule in these countries/regions.

Originality/value

As the role of leadership and culture in combating corruption has not been given sufficient attention in the literature, this paper attempts to rectify this neglect by demonstrating that the political leaders in Singapore and Hong Kong, and to a lesser extent, New Zealand, have succeeded in minimising corruption while their counterparts in Japan, Taiwan and Malaysia, have failed to do so.
Canine/handler relationships: a descriptive mixed-methods analysis of handlers' well-being and stress
Authors: Abraham Sarah , Abderhalden Frances P. , Matusiak Matthew C.
Published: July 2022

Purpose

This study aims to examine the relationships between handlers and (canine) K9. Understanding the influence of well-being and stress (general, occupational and home) is a first step in understanding the performance of K9 units in law enforcement.

Design/methodology/approach

A mixed-methods approach employing semi-structured interviews and quantitative surveys. This approach assessed the relationship between handlers and K9s, while capturing context and the nuanced nature of these partnerships.

Findings

Handlers agree that K9 can detect handlers' general stress, which potentially impacts K9 performance. Occupational stress influences handler/K9 abilities, however, handlers did not agree on all individual behaviors contributing to this stress. Finally, handlers stressed the importance of K9 units training together and suggested supervisors do not always appreciate the importance of joint training sessions.

Originality/value

As specialized units, K9s are often overlooked in policing scholarship, but serve a substantial large role in the missions of safety and security. Little is known about the dynamics of handler/K9 relationships.
The quality of working life from a person-centred perspective: linking job crafting, work environment types and work engagement
Authors: Urbanaviciute Ieva , Lazauskaite-Zabielske Jurgita
Published: July 2022

Purpose

The current study inspects pathways through which job crafting relates to the quality of employees' working lives. To date, this has been mostly done either by linking job crafting to individual job characteristics or by investigating its association with separate aspects of occupational well-being (such as work engagement), whereas empirical evidence about how it may affect one's overall work situation remains scarce.

Design/methodology/approach

To address this question, the authors conducted latent profile analyses based on selected job resources and job demands, which allowed the authors to derive distinct work environment patterns prevailing in a heterogeneous sample of 1,064 employees. Four patterns were identified denoting a passive, high-strain, low-strain and optimally balanced work environment types. The authors then tested the hypothesis that job crafting would relate to employees' odds of exposure to these patterns and that the latter would differentiate between high and low work engagement.

Findings

Approach job crafting was related to higher odds of being exposed to a favourably balanced work environment, and the reverse was true of avoidance crafting. Work engagement differed as a function of the quality of the work environment. Furthermore, the results suggested a potentially indirect link between approach job crafting and work engagement via exposure to different work environment types, whereas avoidance crafting related to lower work engagement only directly.

Originality/value

The findings contribute to theory testing and practice by providing a holistic representation of the work environment and then interlinking its features with employee proactivity and engagement.
Decolonising research approaches towards non-extractive research
Authors: Igwe Paul Agu , Madichie Nnamdi O. , Rugara David Gamariel
Published: July 2022

Purpose

This study aims to reflect on the extent to which research approaches need to be deconstructed and re-imagined towards developing inclusive knowledge and non-extractive research approaches from a Global South perspective.

Design/methodology/approach

Conceptually, integrating the methodological logic and strategy of community-based participatory research (CBPR) and a postcolonial paradigm of decolonising research, this study proposes a research process that engages cultural diversity and an inclusive environment. CBPR approach enables involving, informing and consulting Indigenous communities in espousing theoretical approaches and giving voice to marginalised groups.

Findings

This study answers pertinent questions on what “decolonising” means and how to decolonise research by developing a model of culturally inclusive research approaches. This study ultimately posits that colonialism dominates research and limits knowledge transmission among Indigenous research ideologies.

Research limitations/implications

In recent years, the world has witnessed major socio-political protests that challenges systemic racism and the role of education and institutions in perpetuating racial inequality. This study advocates that researchers consider integrating communities in the designing, conducting, gathering of data, analysing, interpreting and reporting research.

Practical implications

This study advocates knowledge creation through research that considers integrating the voices of Indigenous communities in the design, analysis, interpretation and reporting of research protocols.

Originality/value

In the light of anticolonial thought, decolonising research approaches provides a means for a radical change in research ethics protocol. A model of culturally inclusive research approach was developed, using the framework of CBPR, decolonising the research approaches comprising 6 Rs (respect, relevance, reciprocity, responsibility, relationships and relationality).
Research on compensation method for registration error of large-scale measurement field based on multi-temperature sensors
Authors: Huang Lulu , Huang Xiang , Li Shuang-Gao
Published: July 2022

Purpose

The size of the aircraft tooling structure is huge, and the ambient temperature is difficult to maintain a constant state. Aiming at the influence of current temperature, this paper aims to propose a compensation method for registration error of large-scale measurement fields based on multi-temperature sensors.

Design/methodology/approach

In this method, an enhanced reference points (ERS)–temperature regression model is constructed from ERS and temperature data. The ERS offsets compensation model is established by solving the offset through the regression model, and the ERS offset compensation analysis is carried out.

Findings

The experimental results show that the proposed registration error compensation algorithm has obvious advantages over traditional methods in reducing the influence of ambient temperature and improving the measurement accuracy by reducing the registration error.

Originality/value

This method reduces registration error caused by the influence of ambient temperature and is used for aircraft measurements in different temperature environments.
The 2020 Aged Care Workforce Census and Issues Arising for Residential Care Workforce Planning and Policy
Authors: Howe Anna
Published: July 2022

The Australian Government has committed to addressing the recommendations on workforce made by the 2021 Royal Commission into Aged Care Quality and Safety. Implementation requires a sound information base but examination of the 2020 Aged Care Workforce Census finds it inadequate for these purposes. Only half the reported 32 per cent workforce increase is substantiated on the basis of funding increases and the balance attributed to extraneous factors that inflated results. These limitations are discussed with reference to four major areas of workforce planning and policy and conclusions are drawn about margins for change associated with each of these areas.
Childhood acquired brain injury: the knowledge and training needs of special educational needs coordinators
Authors: Bennett Emily , Thomas Shirley , Woolf Emma
Published: July 2022

The aim of this study was to further explore Special Educational Need Co‐ordinators' (SENCos) knowledge of childhood acquired brain injury (ABI) and if they have received training on how to effectively support children and young people (CYP) with an ABI in school. SENCos from Nottinghamshire were asked to complete a survey face‐to‐face or online. Data reported by Howe and Ball (Support for Learning, 32, 1, 85–100), was also used to allow comparisons between different counties in the UK for knowledge of childhood ABI. Results indicated that SENCos from Nottinghamshire hold numerous uncertainties about childhood ABI, although less uncertainties than SENCos from the West Midlands. A majority SENCos from Nottinghamshire had not received training about childhood ABI. Additional challenges in supporting CYP with an ABI were also identified. The findings show a clear need for more training on childhood ABI across UK schools. It is also apparent that obtaining funding for CYP with an ABI can be a challenge for SENCos. However, further research is needed to determine what these barriers to funding are.
Perceptions of response‐to‐intervention practices: results from a cross‐sectional survey of school‐board directors and support service professionals
Authors: Camden Chantal , Anaby Dana R. , Gauvin Cheyenne , Campbell Wenonah , Bennett Sheila , Berbari Jade , Rivard Lisa , Ianni Lina , Shaw Steven R. ,   GOLDS Research Team
Published: July 2022

The response‐to‐intervention (RtI) model is widely used to support students with special educational needs and their teachers. However, little is known about how educational and health care professionals support the implementation of this model in specific contexts. The purpose of this study was to examine the perceptions of educational and health care professionals (n = 101) regarding their involvement in RtI practices in Quebec, Canada. A cross‐sectional online survey was sent to school‐board directors responsible for overviewing support services (n = 35), and to professionals implementing those services (n = 66). Descriptive and content analyses were performed and perspectives of the two groups were compared. Regarding perspectives of RtI implementation, discrepancies were revealed between directors' perceptions of the involvement of their professionals versus the professionals' reported implementation of the RtI model in practice. Directors reported greater knowledge about RtI (84%) than professionals (72%). Professionals consistently reported lower involvement in supporting RtI implementation than did directors. Coaching was the most frequent activity reported and was mentioned by both directors and professionals as a service provided at all RtI tiers. Results reveal inconsistencies about tiered practices among administrators and school health care professionals, with individuals defining tiers differently and varying in practices implemented at specific tiers. Participants also provided useful suggestions to further implement RtI.
Person‐centred practices in education: a systematic review of research
Authors: Gray Anthony , Woods Kevin
Published: July 2022

Opportunities for children to be involved in the decisions made about them is a part of current statutory educational legislation. Person‐centred planning (PCP) has been proposed as an appropriate method of meeting statutory requirements. However, there is a dearth of research into its application within education. The paper describes a systematic literature review of current research into PCP within education for pupils with SEMH and the associated outcomes. PCP appears to be an effective way of engaging children, young people and their families but research within education is currently limited and methodologically weak. More rigorous research is needed into PCP and its effectiveness and should include the use of standardised and/or observable measures, more varied ranges of contexts and participants, and longitudinal and child‐led designs.
A TERRITORIAL PERSPECTIVE ON URBAN AND REGIONAL ENERGY TRANSITIONS: Shifting Power Densities in the Berlin‐Brandenburg Region
Authors: Walker Benedikt
Published: July 2022

The interdependent development of subnational territories and energy transitions deserves greater attention. Territories demarcate spheres of influence, order relations of energy supply and demand, and offer opportunities and restrictions for local energy autonomy. Nevertheless, territorial perspectives on urban and regional energy transitions are conceptually underdeveloped. Drawing from political geography, this article presents a conceptual framework for understanding how subnational territories shape energy transitions and vice versa. This territorial perspective offers critical insights for research into the (urban) materiality of renewables, energy landscapes and uneven development. First, many cities will rely on renewable energy supply from rural territories to become carbon neutral, due to the low power densities of renewables. Second, governance actors mobilize territorial practices to create and disrupt relations between different energy landscapes. Finally, territorial boundaries are resources in governance processes and structuring elements of uneven development. I use the framework to analyze a case study of a wind energy conflict in three municipalities next to Berlin, which illustrates how Berlin's government asserts its territorial priorities and creates renewable energy hinterlands in a process I conceptualize as hinterlandization.
Describing and assessing a new method of approximating categorical individual‐level income using community‐level income from the census (weighting by income probabilities)
Authors: Kim Uriel , Koroukian Siran M. , Stange Kurt C. , Spilsbury James C. , Dong Weichuan , Rose Johnie
Published: July 2022

Objective

To assess a new approach (weighting by “income probabilities [IP]”) that uses US Census data from the patients' communities to approximate individual‐level income, an important but often missing variable in health services research.

Data Sources

Community (census tract level) income data came from the 2017 5‐year American Community Survey (ACS). The patient data included those diagnosed with cancer in 2017 in Ohio (n = 65,759). The reference population was the 2017 5‐year ACS Public Use Microdata Sample (n = 564,357 generalizing to 11,288,350 Ohioans).

Study Design/Methods

We applied the traditional approach of income approximation using median census tract income along with two IP based approaches to estimate the proportions in the patient data with incomes of 0%–149%, 150%–299%, 300%–499%, and 500%+ of the federal poverty level (FPL) (“class‐relevant income grouping”) or 0%–138%, 139%–249%, 250%–399%, and 400%+ FPL (“policy‐relevant income grouping”). These estimated income distributions were then compared with the known income distributions of the reference population.

Data Collection/Extraction Methods

The patient data came from Ohio's cancer registry. The other data were publicly available.

Principal Findings

Both IP based approaches consistently outperformed the traditional approach overall and in subgroup analyses, as measured by the weighted average absolute percentage point differences between the proportions of each of the income categories of the reference population and the estimated proportions generated by the income approximation approaches (“average percent difference,” or APD). The smallest APD for an IP based method, 0.5%, was seen in non‐Hispanic White females in the class‐relevant income grouping (compared with 16.5% for the conventional method), while the largest APD, 7.1%, was seen in non‐Hispanic Black females in the policy‐relevant income grouping (compared with 18.0% for the conventional method).

Conclusions

Weighting by IP substantially outperformed the conventional approach of estimating the distribution of incomes in patient data.
Entrepreneurial Ecosystems as Amplifiers of the Lean Startup Philosophy: Management Control Practices in Earliest‐Stage Startups*
Authors: Becker Sebastian D. , Endenich Christoph
Published: July 2022

Entrepreneurial ecosystems play a key role in the development of startups not only by providing support—such as flexible office space and access to skilled employees, mentors, and investors—but moreover by promoting concrete ideals about “good” entrepreneurship. However, we know less about the role that ecosystems play in managerial practices of startups. In our empirical analysis of management control systems (MCSs) in earliest‐stage startups, we witness a strong influence of entrepreneurial ideals—above all, the Lean Startup philosophy—on the MCSs analyzed. Building on cross‐sectional field study data resulting from a comprehensive field‐immersion strategy and 50 interviews with key actors in an entrepreneurial ecosystem as well as with founder‐managers of startups, we consider the entrepreneurial ecosystem as a collective meso‐level community that mediates between macro‐level institutional pressures and micro‐level practices of startups. We show how this community, through a variety of what we term amplifying mechanisms, actively deinstitutionalizes a legacy entrepreneurial philosophy epitomized by the business plan concept. At the same time, the community propagates the Lean Startup philosophy so that this alternative has become the dominant institutional philosophy in the studied ecosystem and its startups. Due to the amplifying mechanisms exerted by the meso level, startups use MCSs that play a crucial role in the rapid experimentation and learning process toward finding a scalable business model that is characteristic of the Lean Startup philosophy. We highlight that this philosophy of scientific experimentation has, to a significant degree, transformed intuitive entrepreneurial processes into a set of transactions that can be steered and accelerated by MCSs.
Benign paroxysmal positional vertigo: A practical approach for emergency physicians
Authors: Edlow Jonathan A. , Kerber Kevin
Published: July 2022

Benign paroxysmal positional vertigo (BPPV) is a very common condition in the population and an important cause of acute vertigo or dizziness in patients presenting to an emergency department (ED). Despite this, abundant evidence shows that current ED management of patients with BPPV is suboptimal. Common ED management processes include brain imaging and treatment with vestibular suppressant medications such as meclizine, neither of which is recommended by current guidelines. The most efficient management of BPPV is to perform a bedside test (Dix‐Hallpike test) and then to treat the patients with a bedside positional (the Epley) maneuver. In this practical review we emphasize the efficient management for the most common form of BPPV—posterior canal BPPV. Using this management will reduce resource utilization (laboratory testing, brain imaging, specialist consultation), reduce ED length of stay, and reduce use of ineffective mediations that have side effects but little therapeutic effect. Application of these practices would improve important patient‐centered outcomes such as symptom reduction, radiation exposure, side effects from medications, and less need for urgent follow‐up with another health care provider. The article also discusses the approach to patients in whom the Dix‐Hallpike and/or Epley maneuvers do not seem to work. This includes a discussion the second most common variant of BPPV (horizontal canal BPPV) and criteria for safe discharge of patients. Another important advantage of learning BPPV best practices is that it is enormously satisfying for the clinician, not unlike treating a child with a nursemaid's elbow.
The ASC 606 standard, revenue informativeness, and analysts forecast quality
Authors: Hao Jie , Pham Viet Tuan
Published: July 2022

We examine the adoption effect of ASC 606 on revenue informativeness, analyst forecast dispersion, and forecast errors. We find that the adoption of ASC 606 is associated with increases in revenue informativeness but decreases in analyst forecast accuracy and consensus. Such adoption effects are mainly temporary and focused in firms that are more affected by the new standard. Last, we find that firms using the full retrospective adoption method are associated with higher revenue informativeness and lower analyst forecast error than firms using the modified retrospective method.