bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainable campus using concept mapping: a bottom-up approach engaging both staff and students
Authors: Homer Stephen T. , Khor Kuan Siew 
Published: August 2021

Purpose
This paper aims to highlight a multidimensional model of sustainability practices that are considered meaningful and practical for implementation by higher education institutions (HEIs).

Design/methodology/approach
The Concept System® Global MAX© software facilitated the bottom-up approach of this study, where 32 staff and students of a private HEI were prompted with the question, “What design features or facilities should the university building have for you to consider the building sustainable?” Their opinions were collected as statements via online brainstorming and the process was followed through with the sorting and rating of reduced statements. The software was also used to perform multi-dimensional scaling and cluster analysis to generate the findings of this study.

Findings
An eight-cluster solution was proposed based on the themes within respective clusters. Respondents rated the importance of sustainability resource usage and sustainability and technology highly. Whilst sustainable campus facilities appeal to students, education for sustainable development were more important to staff.

Originality/value
The community-based participatory research recommends activities that enhance the adoption of sustainable development in making universities a “living lab” for sustainability.
Ensemble incremental deep multiple layer perceptron model – sentiment analysis application
Authors: D. Renuka Devi , S. Sasikala 
Published: August 2021

Purpose
The purpose of this paper is to enhance the accuracy of classification of streaming big data sets with lesser processing time. This kind of social analytics would contribute to society with inferred decisions at a correct time. The work is intended for streaming nature of Twitter data sets.

Design/methodology/approach
It is a demanding task to analyse the increasing Twitter data by the conventional methods. The MapReduce (MR) is used for quickest analytics. The online feature selection (OFS) accelerated bat algorithm (ABA) and ensemble incremental deep multiple layer perceptron (EIDMLP) classifier is proposed for Feature Selection and classification. Three Twitter data sets under varied categories are investigated (product, service and emotions). The proposed model is compared with Particle Swarm Optimization, Accelerated Particle Swarm Optimization, accelerated simulated annealing and mutation operator (ASAMO). Feature Selection algorithms and classifiers such as Naïve Bayes, support vector machine, Hoeffding tree and fuzzy minimal consistent class subset coverage with the k-nearest neighbour (FMCCSC-KNN).

Findings
The proposed model is compared with PSO, APSO, ASAMO. Feature Selection algorithms, and classifiers such as Naïve Bayes (NB), support vector machine (SVM), Hoeffding Tree (HT), and Fuzzy Minimal Consistent Class Subset Coverage with the K-Nearest Neighbour (FMCCSC-KNN). The outcome of the work has achieved an accuracy of 99%, 99.48%, 98.9% for the given data sets with the processing time of 0.0034, 0.0024, 0.0053, seconds respectively.

Originality/value
A novel framework is proposed for Feature Selection and classification. The work is compared with the authors’ previously developed classifiers with other state-of-the-art Feature Selection and classification algorithms.
Impact of fake news on social image perceptions and consumers’ behavioral intentions
Authors: Mishra Anubhav , Samu Sridhar 
Published: August 2021

Purpose
This paper aims to examine how content relevancy influences consumers’ preference to receive and share fake news. Further, it investigates how these receivers perceive the social image of the people who share fake news. Finally, this study examines how brand strength and valence and credibility of fake content influence consumer’s word-of-mouth recommendations, purchase intentions and attitude toward the brand.

Design/methodology/approach
Three experiments were conducted to test the hypotheses. The data was analyzed using a two-way analysis of variance and PROCESS techniques.

Findings
Findings indicate that people prefer to receive and share relevant content, even if it is fake. Sharing fake news conveys the sender’s sociability but also creates a negative perception of narcissism. Individuals are more likely to recommend a brand if the fake news is perceived as credible and positive (vs negative). Finally, brand-strength can help brands to negate the harmful effects of fake news.

Research limitations/implications
Future research can explore the role of group dynamics, tie-strength and media richness (text, image and videos) in the dispersion of fake news and its impact on brands.

Practical implications
Marketers should communicate and educate consumers that sharing fake content can harm their social image, which can reduce information dispersion. Marketers should also improve brand-strength that can protect the brand against the adverse impact of fake news.

Originality/value
This study contributes to the emerging literature on fake news by studying the impact of fake news on consumer intentions and attitudes toward the brand, which are critical for the success of any brand.
Revisiting the anger/sadistic typology of sexual homicide
Authors: Chai April Miin Miin , McCuish Evan , Beauregard Eric 
Published: August 2021

PurposeThe anger/sadistic model is one of several typologies proposed for sexual homicide events. This paper aims to empirically test this model by examining sexual homicide cases. Empirically validating these typologies provides greater validity and reliability toward the sexual homicide classification systems that are useful in police investigations.

Design/methodology/approachSecondary data analysis was conducted using police data on 249 solved sexual homicide cases in Canada from 1948 to 2010. Through a robust classifying method, latent class analysis was used to examine variables from the anger/sadistic typology. Additionally, variables from the pre-crime, crime and post-crime phases were examined in relation to the classes’ external validity.

FindingsThree classes emerged, namely, expressive, methodical and instrumental. Expressive and methodical were similar to the anger/sadistic model in terms of the presence of premeditation, victim-offender relationship and body disposal location. Instrumental was characterized by the absence of mutilation on the victim’s body, targeted acquaintances and the use of physical restraints. The three-class typology resembled evidence found in a previous systematic review and also reinforced the notion of heterogeneity in sexual homicide offenses.

Originality/valueThis is the first study to empirically test the anger/sadistic typology. Such validation is important given that sexual homicide classification systems can aid in police investigations (e.g. narrowing down the list of potential suspects). Replication of studies is needed to lend credibility to research processes, which, in turn, allows practitioners and policymakers to integrate the results into policies effectively.
Overestimation by misspecification: revisiting the relation between the unemployment rate and disability insurance claims in the USA
Authors: Smoluk Herbert , Yousefvand Mansouri Rozhin 
Published: August 2021

PurposeDespite numerous studies, our understanding of the determinants of disability insurance (DI) claim rates in the USA is clouded. When the unemployment (UE) rate soars during an economic downturn such as the spread of COVID-19, assuming a linear positive relationship between the two variables, as the prior literature has suggested, forewarns a large spike in DI claim rates. Yet, if the model is misspecified, it can lead to misinformed decisions such as reducing DI awards during an economic downturn when such awards are needed the most. This study aims to improve the accuracy of the DI claims' prediction.Design/methodology/approachThis study suggests that the relationship between the UE rate and DI claim rate is nonlinear and examines this hypothesis using a panel dataset of 866 state-year observations from 2002–2018.FindingsThe results provided compelling evidence in support of the proposed quadratic relationship between the UE rate and DI claim rate and revealed that compared to a quadratic model, the linear model overestimated the DI claim rate by approximately 18 percent or 172,000 claims per year.Practical implicationsGiven that DI awards represent hundreds of thousands of dollars in present value terms, the impact of increase in DI claims on the Social Security Disability Fund during an economic downturn might not be as high as some model might forecast.Originality/valueTo our knowledge, no other studies have examined a quadratic relationship between the UE rate and the DI claim rate. This study is especially relevant during the coronavirus (COVID-19) pandemic and its aftermath. In April 2020, the UE rate spiked to nearly 15 percent nationwide, with Nevada and Michigan at 28 percent and 22.7 percent, respectively. The nonlinear model used in this study suggests that, as the UE increases, DI claims increase, albeit at a decreasing rate. On the contrary, a linear relationship between the UE rate and DI claim rates implies that the increase in the DI claim rate would be constant regardless of the UE rate. This misspecification can result in misinformed decisions, such as the reduction of DI awards because of the overestimation of claims during economic downturns. This can lead to lower award rates during economic turmoil when this assistance is most needed.
Fostering entrepreneurship: the crucial role of monitoring schemes
Authors: Cunha Gabriel Gomes da , Arvate Paulo 
Published: August 2021

PurposeThe purpose of this paper is to investigate the effect of government-led programs on the engagement of individuals in entrepreneurship.Design/methodology/approachThe authors worked with government-led programs of 16 European countries between 2003 and 2014 and were able to benefit from the 2008 natural experiment (i.e. the global financial crisis) to produce a robust investigation using a regression kink design (RKD).FindingsThe work shows that government-led programs that are designed to include monitoring schemes can significantly increase individuals' engagement in opportunity-driven entrepreneurship. The authors found that monitoring schemes do not have the same relevance for necessity-driven entrepreneurship. Therefore, the authors believe the difference occurs because monitoring design avoids problems related to moral hazard and adverse selection when it comes to individuals choosing whether to participate (or not) in government-led programs.Originality/valueWhile it is important for governments to provide an enabling environment for entrepreneurship, this study showed that not all types of public program have positive results. In fact, it has been demonstrated that poorly-designed programs can actually decrease the likelihood of individuals engaging in entrepreneurial activities. The efficiency of programs is substantially improved, however, when they are designed to include monitoring schemes.
Accounting conservatism and corporate governance: evidence from India
Authors: Sharma Meena , Kaur Rajbir 
Published: August 2021

Purpose
The paper aims to study the impact of corporate governance variables on the adoption of accounting conservatism by S&P BSE 500 index firms.

Design/methodology/approach
The period for the study is from 2010–2018. The data has been extracted from the BSE website, annual reports of the sample companies and the Prowess IQ database. Panel data methodology has been used to analyse the impact of the corporate governance variables on accounting conservatism. Accounting conservatism is the dependent variable, which has been measured by using the CONACCR (negative accruals) measure and the independent variables include the characteristics of the board of directors and the audit committee.

Findings
Overall, the relationship between accounting conservatism and corporate governance indicates a significant impact of corporate governance variables, namely, characteristics of the board of directors and the audit committee, on the accounting conservatism policy of the firm.

Originality/value
This research explores the benefits of conservatism in resolving agency conflict. Very few studies have captured the relationship of individual components of corporate governance with accounting conservatism. Moreover, this study contributes to the literature regarding the influence of corporate governance variables on the extent of conservatism used in accounting records.
Psychological vulnerability and coping among management students during COVID-19 pandemic
Authors: Sundaray Bijaya Kumar , Sarangi Pragyan , Patra Soumendra Kumar 
Published: August 2021

Purpose
In light of growing concerns related to the psychological vulnerability during the pandemic, this study aims to examine the impact of fear or trauma of COVID-19 on stress, anxiety and depression among management students. Additionally, the study also explores the possible strategies adopted by professional students to cope with the pandemic situation.

Design/methodology/approach
With an approach to establish a probable concrete relationship between fear with the level of stress, anxiety and depression, the data for the study was collected from 1,408 management students through a structured questionnaire designed in Google Form and administered through WhatsApp. The survey was carried out in the month of July and August 2020 during the lockdown period. Correlation and structural equation modeling have been used to examine the relationship among the test attributes.

Findings
The results from the study discovered that “fear of COVID-19” has a significant and considerable impact on the increased level of anxiety and stress among the professional students, but the observations did not demonstrate a significant influence of the “fear” on “depression.” The responses reveal that students have developed anxiety and felt stressed mostly due to uncertainty in the upcoming academic plans, disturbances in their regular academic routines and concerns about their future careers. Further, the findings have portrayed that students have adopted both protective and avoidance coping strategies to overcome the adverse consequences of the pandemic.

Research limitations/implications
The study gives an insight on the psychological vulnerability of the management students and their capability to overcome such sudden disruptions due to pandemics. This research could thus, serve as a reference to the policymakers, universities and institutions while planning out programs and schemes, which would encourage the aspiring managers to overcome the crisis and prepare themselves to befit the vibrant corporate world.

Originality/value
Several studies exist on the impact of the pandemic on undergraduate students in different universities. However, there are a dearth of literature, which reflects the psychological vulnerability of professional graduates especially management students who are on the verge of starting their professional career.
Enhancing decision-making with data quality metadata
Authors: Shankaranarayanan G. , Zhu Bin 
Published: August 2021

Purpose
Data quality metadata (DQM) is a set of quality measurements associated with the data. Prior research in data quality has shown that DQM improves decision performance. The same research has also shown that DQM overloads the cognitive capacity of decision-makers. Visualization is a proven technique to reduce cognitive overload in decision-making. This paper aims to describe a prototype decision support system with a visual interface and examine its efficacy in reducing cognitive overload in the context of decision-making with DQM.

Design/methodology/approach
The authors describe the salient features of the prototype and following the design science paradigm, this paper evaluates its usefulness using an experimental setting.

Findings
The authors find that the interface not only reduced perceived mental demand but also improved decision performance despite added task complexity due to the presence of DQM.

Research limitations/implications
A drawback of this study is the sample size. With a sample size of 51, the power of the model to draw conclusions is weakened.

Practical implications
In today’s decision environments, decision-makers deal with extraordinary volumes of data the quality of which is unknown or not determinable with any certainty. The interface and its evaluation offer insights into the design of decision support systems that reduce the complexity of the data and facilitate the integration of DQM into the decision tasks.

Originality/value
To the best of my knowledge, this is the only research to build and evaluate a decision-support prototype for structured decision-making with DQM.
Why do micro and small merchants use mobile payment systems? A grounded theory study in China
Authors: Chen Xiaogang , Li Shu , Su Libo , Huang Ting 
Published: August 2021

Purpose
This study aims to reveal the decision-making process that micro and small merchants (MSMs) may go through when deciding on the mobile payment system (MPS) adoption and usage and explore how relevant factors may impact this process.

Design/methodology/approach
This paper uses the grounded theory approach. Specifically, this paper conducts individual, semi-structured interviews with MSMs in China. Each interview was focused on an MSM’s decisions on initial adoption and continued use of MPSs. The paper then coded the interviews to derive conceptual categories and integrated the categories to form a cohesive framework to explain how MSMs make decisions on MPS adoption and usage.

Findings
MSMs make decisions on MPS adoption and usage in three phases: first, due to variations in social and economic surroundings, some merchants develop intentions to adopt MPSs, whereas others do not. Second, merchants developing adoption intentions in phase one have to select which MPS brands to adopt and then begin using them. The brand value affects their selection. Finally, the use of MPSs of their initial choice has consequences for business operations. Merchants with different levels of personal innovativeness evaluate the consequences differently. Satisfied merchants continue using the initial MPSs, while dissatisfied merchants switch to other brands.

Originality/value
The findings first give a more complete depiction of how MSMs make MPS adoption and usage decisions; second show that MSMs’ MPS adoption intention is solely influenced by pro-mobile-payment surroundings and explain what constitutes pro-mobile-payment surroundings and through what mechanisms the surroundings influence adoption intentions; third reveals that selecting which MPS brand to adopt is an important decision phase; fourth explain both why merchants may continue using MPSs and why they may switch from one MPS brand to another.
Informational role of futures volume for spot volatility
Authors: Rastogi Shailesh , Tripathi Vikas , Kuknor Sunaina 
Published: August 2021

Purpose
The paper aims to explore the informational role of futures volume in the simultaneous relationship between option volume and spot volatility to forecast the volatility of the underlying asset.

Design/methodology/approach
The generalized method of moments is used to estimate the simultaneous equations of endogeneity between spot volatility and option volume. Futures volume is specified as an exogenous variable in both legs of the estimation of simultaneous equations. However, the future volume is also tested as a dependent variable to prove preference for investment by informed investors in futures along with options.

Findings
The result indicates that futures volume has a significant association with the bi-directional simultaneous equation estimation between spot volatility and option volume. Moreover, the result of this paper proves that informed investors also prefer futures markets over the spot market. However, there is no change observed in the relationship between option volume and spot volatility due to either call or put options or moneyness.

Originality/value
The possible role of futures volume in the simultaneous equations between spot volatility and option volume has not yet been researched. This paper pioneers in demonstrating that futures volume is an exogenous variable in the simultaneous equation modeling between spot volatility and option volume. Moreover, in the contemporaneous as well as predictive relationships between spot volatility and option volume, futures volume as an exogenous variable is significant in forecasting spot volatility. In addition to this, the current paper uniquely provides evidence of investment in futures also over the spot market by informed investors.
Understanding the challenges of e-learning during the global pandemic emergency: the students’ perspective
Authors: Abdur Rehman Mohsin , Soroya Saira Hanif , Abbas Zuhair , Mirza Farhan , Mahmood Khalid 
Published: August 2021

PurposeThis study aims to debate and highlight the challenges faced by university students regarding e-learning during the global pandemic emergency. Furthermore, it sketches the solutions of e-learning using a theoretical lens of emergency management theory (EMT). Finally, the study argues a case for improvement in existing e-learning systems to enable higher education systems, particularly in a developing country, to recover the losses and increase education quality.Design/methodology/approachA qualitative research design and phenomenology research approach were applied to conduct the current study. A total of 10 in-depth online interviews were recorded from students studying in Pakistan and the UK. Verbatim transcriptions were analysed using the reflexive thematic analysis approach.FindingsThe current study results explained in detail the numerous challenges, including lack of preparedness (students and institutions), low quality of interaction, lack of motivation, lack of class activities and forceful adoption of e-learning. Alternatively, few opportunities also emerged through a set of suggestions such as a comprehensive emergency management plan, introduction of strong student counselling programmes and a strategic plan for quality of online learning content.Originality/valueThis study’s contribution stands out in crucial times of the global pandemic. EMT is applied to understand the different dimensions of preparedness, response, mitigation and recovery from a students’ perspective. Furthermore, considering students as important members of higher education institutions and understanding students’ opinions regarding quality assurance during the global pandemic was imperative.