bluuebunny/crossref_metadata_2025_split huggingface dataset:
Indoor room temperature forecasting in buildings: a literature review (2001-21)
Authors: Pandey Kamal , Basu Bhaskar 
Published: November 2022

Purpose
Building energy management systems use important information from indoor room temperature (IRT) forecasting to predict daily loads within smart buildings. IRT forecasting is a complex and challenging task, especially when energy demands are exponentially rising. The purpose of this paper is to review the relevant literature on indoor temperature forecasting in the past two decades and draw inferences on important methodologies with influencing variables and offer future directions.

Design/methodology/approach
The motivation for this work is based on the research work done in the field of intelligent buildings and energy related sector. The focus of this study is based on past literature on forecasting models and methodologies related to IRT forecasting for building energy management, with an emphasis on data-driven models (statistical and machine learning models). The methodology adopted here includes review of several journals, conference papers, reference books and PhD theses. Selected forecasting methodologies have been reviewed for indoor temperature forecasting contributing to building energy consumption. The models reviewed here have been earmarked for their benefits, limitations, location of study, accuracy along with the identification of influencing variables.

Findings
The findings are based on 62 studies where certain accuracy metrics and influencing explanatory variables have been reviewed. Linear models have been found to show explanatory relationships between the variables. Nonlinear models are found to have better accuracy than linear models. Moreover, IRT profiles can be modeled with enhanced accuracy and generalizability through hybrid models. Although deep learning models are found to have better performance for this study.

Research limitations/implications
This is accuracy-based study of data-driven models. Their run-time performance and cost implications review and review of physical, thermal and simulation models is future scope.

Originality/value
Despite the earlier work conducted in this field, there is a lack of organized and comprehensive evaluation of peer reviewed forecasting methodologies. Indoor temperature depends on various influencing explanatory variables which poses a research challenge for researchers to develop suitable predictive model. This paper presents a critical review of selected forecasting methodologies and provides a list of important methodologies along with influencing variables, which can help future researchers in the field of building energy management sector. The forecasting methods presented here can help to determine appropriate heating, ventilation and air-conditioning systems for buildings.
Comfort perception of tight winter-based sportswear
Authors: Cheng Pengpeng 
Published: November 2022

PurposeIn order to study the static and dynamic comfort of tight sportswear in winter, the subjective comfort was aimed to be evaluated by collecting sensory data such as humidity feeling, cold feeling and other perceptions. In this paper, the experiment was divided into standing, squatting, jumping, jogging, walking and so on.Design/methodology/approachThrough particle swarm optimization-cuckoo search model, the sensory factors that affect the overall comfort were optimized, and it was found that there were great differences in the overall comfort factors under different motions. Then, analytic hierarchy process was used to sort the optimized sensory indicators in each experimental stage, and the influence degree of sensory indicators was studied. Finally, by the long short-term memory (LSTM) model, taking comfort senses of standing, squatting, jumping and jogging as input parameters, and regarding comfort senses of walking, lifting legs and resting as output parameters, the prediction model was founded.FindingsThe results showed that there were certain differences between the prediction value and the real subjective evaluation value, but most of the predicted values were consistent with the real values on the sensory level, and the overall prediction level was good, which meant that the LSTM model had more accurate prediction ability for subjective evaluation and could be extended to other sports.Originality/valueThe research results could provide scientific methods for the design of tight-fitting sportswear in winter.
Space economy: a new frontier of information systems, analytics and digital commerce
Authors: Lei Yang , Guo Yue , Li Xiaotong , Jing Zhe 
Published: November 2022

PurposeThe space industry has experienced rapid development over the last few years. Activities such as building things in space, learning about our Earth and exploring outer space are satisfying people's fantasies and achieving humanity's ambitions. Such activities have also generated many issues that belong to several information systems (IS) research domains. In this article, the authors discuss the challenges and opportunities associated with the space economy.Design/methodology/approachThe authors discuss why the emerging space economy opens a new frontier of e-commerce and data analytics. Linking three important IS research areas (i.e. digital commerce, data analytics and information security) to the space economy, this study motivates scholars to pay close attention to this promising new frontier for IS research.FindingsThe authors identify new research opportunities within several IS research contexts (digital commerce, data analytics and information security). The authors highlight the potential for opening a robust, interdisciplinary field in the IS domain that could provide valuable insights for practitioners and academics.Originality/valueBecause of the unique characteristics of the space economy, this article presents some promising avenues, research opportunities and implications for several IS fields (digital commerce, data analytics, decision science, information sharing and information security and new business models). Indeed, many opportunities are interdisciplinary in scope, with overlaps occurring between IS and other disciplines.
Modeling academic performance through personality traits, self efficacy, disaffection among university students
Authors: Aarti  , Kadian Ravin 
Published: November 2022

PurposeStudents’ performance in academic settings, to a great extent, is an outcome of personal determinants of individuals. So, it becomes necessary to understand the role of personality traits in gaining desired academic outcomes. This investigation attempts to study some selected personality traits’ contribution to students’ self-efficacy and disaffection and the further impact of these two variables on academic performance.Design/methodology/approachTo attain the target of the study, a sample of 455 university students from state-owned universities of Haryana, India, has been drawn based on the snowball sampling technique. The researcher used Google Forms to collect primary data. The structure equation modeling technique has been applied to analyze the relation between studied variables.FindingsFindings of the study showed a significant positive association of personality traits named agreeableness, conscientiousness and extraversion with self-efficacy that further contributes to academic performance. Also, students’ agreeableness and conscientiousness were negatively associated with students’ disaffection, discouraging an individual’s academic performance. Extraversion did not show any significant association with students’ disaffection.Originality/valueStudies are available exploring variables like personality traits, student disaffection and self-efficacy. This study attempts to study all these variables together to understand their impact on academic performance.
Enhancing universities students' performance through level advisers' leadership qualities
Authors: Awodiji Omotayo Adewale , Naicker Suraiya R. 
Published: November 2022

PurposeTeachers at all levels of the education system are expected to model leadership qualities to students. Leadership qualities of level advisers (LAs) are regarded as charismatic, pragmatic, ideological and innovative (CPII) in this study. This study compared the leadership qualities of LAs in universities in Nigeria as perceived by students. The purpose of this paper is to compare the leadership qualities of LAs in universities in Nigeria as perceived by students.Design/methodology/approachA survey-comparative design of a quantitative research approach was used. Two universities were purposively selected and the convenience sampling method was applied to select 207 participants.FindingsFindings revealed that LAs of the private university exhibit a slightly higher level of leadership qualities than those from the public university based on the students' assessment (t (207) = 2.19 and ρ = 0.029 < 0.05).Research limitations/implicationsThe study concluded that universities should organise regular workshops for LAs on innovative leadership to stimulate 21st-century learners to achieve their educational objectives.Practical implicationsIt is therefore recommended that universities should organise a regular workshop for LAs on an innovative leadership model that promotes 21st century students to achieve their educational objectives.Originality/valueIn practice, the study of this kind is timely, given that academic advisers or advisers are very influential on student achievement and success. Thus, the outcome will educate the academic advisers on the leadership qualities that will enhance their role in the 21st century. In addition, it will add to the literature on university LAs' leadership skills in Nigeria and other nations of Africa. Most literature available in the context is mainly from America.
“Contingency”, an overlooked factor by school leadership: evidence from primary urban schools in Chile
Authors: Muñoz Gonzalo , Weinstein José , Sembler Matías 
Published: November 2022

PurposeThis paper aims to describe the levels and type of contingency faced by school principals in Chile and the way certain aspects of the Chilean school system result in a greater or lesser presence of these contingencies.Design/methodology/approachThe results reported here are based on the application of a structured questionnaire to 381 elementary school principals in Chile. A “Leadership Contingency Index” was created to analyze the extent and characteristics of this phenomenon, which was complemented with a multiple regression analysis to observe the variables that influence the levels of contingency.FindingsThis study has shown that the main contingencies faced by school leaders in Chile revolve around the relationship between actors: assist families, relationship with and among students and resolution of school staff problems. Also shows that the level of contingency faced by principals is strongly conditioned by the socio-educational context of the school and is not related to the individual characteristics of the leaders. This level of contingencies is significantly higher in the public system, although the most recurrent contingencies are the same in each type of school administration (public, private subsidized and privately funded schools).Originality/valueThis paper addresses an important but relatively unexplored dimension in specialized research on leadership: variable contingencies under which the leadership role is performed daily, including significant gaps between schools. Understanding and analyzing school leadership from the perspective of the complexity of tasks currently faced by principals, many of them highly unpredictable, ensures a realistic view of the possibilities and limitations of leadership in action and, consequently, provides better tools to strengthen the school leadership role and its contribution to improving student learning.
Air pollution, health expenditure and economic growth in MINT countries: a trivariate causality test
Authors: Ibukun Cleopatra Oluseye , Omisore Wuraola Mahrufat 
Published: November 2022

PurposeThis paper examines the long-run and dynamic causal relationship among air pollution, health expenditure and economic growth in Mexico, Indonesia, Nigeria and Turkey (MINT countries).Design/methodology/approachThe bounds test approach to cointegration and causality test was employed on data covering 1995–2018.FindingsThe study shows evidence of a long-run relationship among the variables in MINT countries and the causality test confirms the existence of a bidirectional causal nexus between health expenditure and economic growth in the four countries. It also confirms that there is a bidirectional causal relationship between carbon dioxide (CO2) emission and economic growth, except in Nigeria where a unidirectional causal relationship was found running from CO2 emissions to economic growth. In addition, a bidirectional causal relationship was found between air pollution and health expenditure in Turkey, while no causal relationship was found among these variables in Nigeria.Research limitations/implicationsThis study is limited by available data and it only focuses on four emerging economies. To address this, future studies can expand this scope to more emerging economies with severe air pollution and also extend the scope when more recent data becomes available.Practical implicationsThis study suggests that pollution standards in MINT countries should be monitored and enforced with transparency so as to mitigate its health implications and ensure the sustainability of economic growth.Social implicationsThe study confirms the importance of keeping air pollution as low as possible because of its negative effect on health and economic output.Originality/valueThe study accounts for the complexity of each MINT country instead of providing a general discussion on the relationship between air pollution, health expenditure and economic growth in MINT countries.
Reimagining the SME failure phenomenon: incorporating regenerative effects and predicting enterprise regenerative capacity
Authors: Sanhokwe Hamfrey 
Published: November 2022

Purpose
Exposure to a public health threat of significant proportions made current models inadequate to explain the failure phenomenon in small businesses. Hence, the need to reimagine the phenomenon. Borrowing from the principles of biology, this study extended theoretical and empirical perspectives on the failure phenomenon by unpacking its constituent elements and the measurement metrics using the regeneration lens.

Design/methodology/approach
Based on a cohort tracked over time, the study estimated the survival probabilities of small and medium-scale enterprises (SMEs) with and without regeneration using the Kaplan–Meier method. The study investigated the factors that predict enterprise regenerative capacity using the multivariate Cox proportional hazard ratios.

Findings
Rates of interruption in business activity, by month, ranged between 0% and 18% during the follow-up period. True mortality rates hovered between 0% and 4% over the same period. Over three in five SMEs that experienced interruption in business activity without ceasing operations regenerated at some point in time during the follow-up period. The survival probabilities beyond the follow-up period were 0.85 and 0.44 with and without regeneration effects, respectively. Fresh capital injection (+), the introduction of new/improved processes or products/services (+), perceived business outlook (+) and the presence of debt (−) influenced the capacity to regenerate.

Research limitations/implications
The cohort was followed for only six months. There is a need to continue interrogating the failure phenomenon in other contexts over longer periods using the regeneration lens. Bringing on board academia, financial institutions and other SME-related ecosystem players will be strategic.

Practical implications
The approach provides a more nuanced understanding of the life and well-being of enterprises under conditions of disruption. Improving the precision and validity of failure-related statistics enhances their utility in policy and remediation-related discussions.

Social implications
The results did not show significant differences in SME mortality rates between male and female-owned enterprises. The results provide further evidence that the failure phenomenon is ungendered. As such, financial institutions and the SME ecosystem at large must eliminate perceptual gender biases in the financing and other support to SMEs.

Originality/value
The study used the principles of biology to reimagine the failure phenomenon in small businesses. The approach breathes life into entrepreneurship research and policy.
What makes an economic sanction effective?
Authors: Teichmann Fabian Maximilian Johannes , Wittmann Chiara 
Published: November 2022

Purpose
This paper aims to elucidate the practical and theoretical mechanisms which contribute to the perception of an economic sanction’s effectiveness as a foreign policy tool.

Design/methodology/approach
This paper is divided into three sections, the first two of which are heavily based on the current academic literature and media presentation of sanctions. The third section is rooted in the empirical approach presented in the first author’s exploratory work, Methods of Money Laundering (2021).

Findings
Economic sanctions cannot be perceived as effective when the standard for efficacy remains undefined and sanction circumvention remains feasible. The public perception of sanctions is characterized by a series of assumptions as well as conflict foreign policy objectives, which cultivate an economic theory that is benefited by a practical exploration of the routes of circumvention.

Originality/value
The efficacy of economic sanctions is not a stable equation, but rather the application of an economic tool which is dependent on its context. Paths of sanction circumvention remain open due to weaknesses in compliance regulation. These paths continue to undermine the credibility of sanctions and, ultimately, their efficacy.
Do air quality and green space reduce propensity to crime?: an empirical investigation of OECD countries
Authors: Demir Caner , Ozcan Süleyman Emre 
Published: November 2022

PurposeThis study investigates the impacts of green space and air quality on crime rates for Organisation for Economic Co-operation and Development (OECD) countries over the 2003–2017 period.Design/methodology/approachBy building an international data set, including both green space and air pollution at the same time in the model, and considering the potential endogeneities between variables, the study brings some novelties to the existing literature. Using the United Nations Crime Trends Survey and World Development Indicators databases, a panel data set of 37 OECD countries for 2003–2017 period was collected. To avoid the potential endogenous relationships between variables, the system-Generalized Method of Moments (system-GMM) method was applied.FindingsThe findings suggest that increases in green space reduce the crime rate, while increases in air pollution raise it. Additionally, the estimated control variables show that there are many statistically significant factors that determine the crime rate. In all the additional models, the effects of green space and air pollution were estimated consistently, which can be taken as a sign that the findings are robust.Originality/valueThe evidence of the study explicitly reveals that environmentally friendly policies provide benefits in terms of reducing crime rates as well as other known benefits. On the other hand, to represent the environmental dimension, this is the first study which uses a cross-country data set including both green space and air pollution in the model at the same time. Second, the issue has not been previously dealt with for OECD countries. Thirdly, the study considered the potential endogeneity between variables, and to check the robustness of the findings, some prominent factors affecting the crime rate were used as control variables.
Analyzing critical factors of strategic alignment between operational excellence and Industry 4.0 technologies in smart manufacturing
Authors: Ozbiltekin-Pala Melisa , Kazancoglu Yigit , Kumar Anil , Garza-Reyes Jose Arturo , Luthra Sunil 
Published: November 2022

PurposeThe manufacturing sector is highly competitive and operationally complex. Therefore, the strategic alignment between operational excellence methodologies and Industry 4.0 technologies is one of the issues that need to be addressed. The main aim of the study is to determine the critical factors of strategic alignment between operational excellence methodologies and Industry 4.0 technologies for manufacturing industries and make comparative analyses between automotive, food and textile industries in terms of strategic alignment between operational excellence methodologies and Industry 4.0 technologies.Design/methodology/approachFirst, determining the critical factors based on literature review and expert opinions, these criteria are weighted, and analytical hierarchy process is run to calculate the weights of these criteria. Afterward, the best sector is determined by the grey relational analysis method according to the criteria for the three manufacturing industries selected for the study.FindingsAs a result of AHP, “Infrastructure for Right Methodology, Techniques and Tools, is in the first place,” Organizational Strategy, is in the second place, while the third highest critical factor is “Capital Investment”. Moreover, based on grey relational analysis (GRA) results, the automotive industry is determined as the best alternative in terms of strategic alignment between operational excellence (OPEX) methodologies and I4.0 technologies.Originality/valueThis study is unique in that it is primarily possible to obtain the order of importance within the criteria and to make comparisons between three important manufacturing industries that are important for the economies of the world.
Economic evaluation of applying the Canadian Syncope Risk Score in an Australian emergency department
Authors: Brain David , Yan Alan , Morel Doug , Ballard Emma , Hunter Jonathan , Hocking Julia , Chan Jason 
Published: November 2022

AbstractObjectiveTo evaluate the Canadian Syncope Risk Score (CSRS) in syncope patients presenting to the ED from an economic perspective, using very‐low and low‐risk patients (CSRS −3 to 0) as a threshold for avoiding hospital admissions.MethodsA decision‐analytic model, specifically a decision‐tree, was developed to evaluate application of the CSRS. A hypothetical cohort of 1000 patients was modelled based on characteristics and outcome of patients enrolled in a clinical validation study performed alongside this evaluation. Several analytic based approaches were used to handle model outputs and uncertainties.ResultsFor a cohort of 1000 patients, applying the CSRS was associated with 169 less inpatient admissions from the ED, when compared to usual care. There was also a cost‐saving of $8255 per admitted patient, when the CSRS was applied, compared to usual care. Adopting the CSRS was the optimal approach in all scenario analyses and was robust to changes in model parameters. More than three‐quarters (78.6%) of all model simulations showed that applying the CSRS is a cost‐saving approach to managing syncope. There was high confidence in all results, with the approach using the CSRS reducing the costs and number of syncope‐related hospital admissions.ConclusionsCompared to usual care, applying the CSRS appeared as a cost‐effective strategy. This new evidence will help decision‐makers choose cost‐effective approaches for the management of patients presenting to the ED with syncope, as they search for efficient ways to maximise health gain from a finite budget.