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2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kavya Sharma ◽  
Xinhui Zhan ◽  
Fiona Fui-Hoon Nah ◽  
Keng Siau ◽  
Maggie X. Cheng

PurposePhishing attacks are the most common cyber threats targeted at users. Digital nudging in the form of framing and priming may reduce user susceptibility to phishing. This research focuses on two types of digital nudging, framing and priming, and examines the impact of framing and priming on users' behavior (i.e. action) in a cybersecurity setting. It draws on prospect theory, instance-based learning theory and dual-process theory to generate the research hypotheses.Design/methodology/approachA 3 × 2 experimental study was carried out to test the hypotheses. The experiment consisted of three levels for framing (i.e. no framing, negative framing and positive framing) and two levels for priming (i.e. with and without priming).FindingsThe findings suggest that priming users to information security risks reduces their risk-taking behavior, whereas positive and negative framing of information security messages regarding potential consequences of the available choices do not change users' behavior. The results also indicate that risk-averse cybersecurity behavior is associated with greater confidence with the action, greater perceived severity of cybersecurity risks, lower perceived susceptibility to cybersecurity risks resulting from the action and lower trust in the download link.Originality/valueThis research shows that digital nudging in the form of priming is an effective way to reduce users' exposure to cybersecurity risks.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yaw Owusu-Agyeman ◽  
Enna Moroeroe

PurposeScholarly studies on student engagement are mostly focused on the perceptions of students and academic staff of higher education institutions (HEIs) with a few studies concentrating on the perspectives of professional staff. To address this knowledge gap, this paper aims to examine how professional staff who are members of a professional community perceive their contributions to enhancing student engagement in a university.Design/methodology/approachData for the current study were gathered using semi-structured face-to-face interviews among 41 professional staff who were purposively sampled from a public university in South Africa. The data gathered were analysed using thematic analysis that involved a process of identifying, analysing, organising, describing and reporting the themes that emerged from the data set.FindingsAn analysis of the narrative data revealed that when professional staff provide students with prompt feedback, support the development of their social and cultural capital and provide professional services in the area of teaching and learning, they foster student engagement in the university. However, the results showed that poor communication flow and delays in addressing students’ concerns could lead to student disengagement. The study further argues that through continuous interaction and shared norms and values among members of a professional community, a service culture can be developed to address possible professional knowledge and skills gaps that constrain quality service delivery.Originality/valueThe current paper contributes to the scholarly discourse on student engagement and professional community by showing that a service culture of engagement is developed among professional staff when they share ideas, collaborate and build competencies to enhance student engagement. Furthermore, the collaboration between professional staff and academics is important to addressing the academic issues that confront students in the university.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dang Luo ◽  
Decai Sun

PurposeWith the prosperity of grey extension models, the form and structure of grey forecasting models tend to be complicated. How to select the appropriate model structure according to the data characteristics has become an important topic. The purpose of this paper is to design a structure selection method for the grey multivariate model.Design/methodology/approachThe linear correction term is introduced into the grey model, then the nonhomogeneous grey multivariable model with convolution integral [NGMC(1,N)] is proposed. Then, by incorporating the least absolute shrinkage and selection operator (LASSO), the model parameters are compressed and estimated based on the least angle regression (LARS) algorithm.FindingsBy adjusting the values of the parameters, the NGMC(1,N) model can derive various structures of grey models, which shows the structural adaptability of the NGMC(1,N) model. Based on the geometric interpretation of the LASSO method, the structure selection of the grey model can be transformed into sparse parameter estimation, and the structure selection can be realized by LASSO estimation.Practical implicationsThis paper not only provides an effective method to identify the key factors of the agricultural drought vulnerability, but also presents a practical model to predict the agricultural drought vulnerability.Originality/valueBased on the LASSO method, a structure selection algorithm for the NGMC(1,N) model is designed, and the structure selection method is applied to the vulnerability prediction of agricultural drought in Puyang City, Henan Province.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kazhal Gharibi ◽  
Sohrab Abdollahzadeh

PurposeTo maximize the network total profit by calculating the difference between costs and revenue (first objective function). To maximize the positive impact on the environment by integrating GSCM factors in RL (second objective function). To calculate the efficiency of disassembly centers by SDEA method, which are selected as suppliers and maximize the total efficiency (third objective function). To evaluate the resources and total efficiency of the proposed model to facilitate the allocation resource process, to increase resource efficiency and to improve the efficiency of disassembly centers by Inverse DEA.Design/methodology/approachThe design of a closed-loop logistics network for after-sales service for mobile phones and digital cameras has been developed by the mixed-integer linear programming method (MILP). Development of MILP method has been performed by simultaneously considering three main objectives including: total network profit, green supply chain factors (environmental sustainability) and maximizing the efficiency of disassembly centers. The proposed model of study is a six-level, multi-objective, single-period and multi-product that focuses on electrical waste. The efficiency of product return centers is calculated by SDEA method and the most efficient centers are selected.FindingsThe results of using the model in a case mining showed that, due to the use of green factors in network design, environmental pollution and undesirable disposal of some electronic waste were reduced. Also, with the reduction of waste disposal, valuable materials entered the market cycle and the network profit increased.Originality/value(1) Design a closed-loop reverse logistics network for after-sales services; (2) Introduce a multi-objective multi-echelon mixed integer linear programming model; (3) Sensitivity analysis use Inverse-DEA method to increase the efficiency of inefficient units; (4) Use the GSC factors and DEA method in reverse logistics network.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  

Purpose The purpose of this study is to examine the views of HR managers on employer branding activities and their implementation. Design/methodology/approach Data was gathered from an HR expert from each of three multinational companies located in India. In-depth, semi-structured interviews were carried out either face-to-face or by telephone and responses were analyzed into identified themes using a content analysis technique. Findings The key success criteria from the discussions are themed as meaningfulness and visibility, employer brand awareness and differentiator and HRD parameters. Practical implications Organizations should be aware of and address the issues of communication breakdown, strategic mismatch, long-term disconnects and sustained success in relation to the employer branding process. Originality/value This paper has an original approach in considering the relationship between HRD indicators and employer branding.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pooja Mehta ◽  
Manjit Singh ◽  
Manju Mittal ◽  
Himanshu Singla

Purpose This study aims to test the serial mediation effect of attitude toward socially responsible investing (SRI) and social investing efficacy (SIE) on the relationship of knowledge about SRI with the intention to invest in SRI along with moderating effect of religiosity. Design/methodology/approach The study uses a quantitative analysis approach, wherein the data has been collected from 569 north Indian retail investors. Partial least square (PLS)-structural equation modeling has been applied in this study using the latest version of SmartPLS (v. 3.2.8) software to examine the complex model of serial and moderated mediation. Findings Attitude toward SRI and SIE significantly and serially mediate the relationship between knowledge about SRI and intention to invest in SRI. Also, the interaction effect of religiosity with knowledge about SRI is significant only for SIE and not for attitude toward SRI. Research limitations/implications The study is cross-sectional in nature conducted only on the north Indian investors. Besides knowledge, there can be many other personal or social aspects that might affect SRI intention that have not been taken into the study. Practical implications The results suggested that the companies, financial advisors and governmental bodies can improvise upon social and environmental performance reporting so that investment in SRI can be promulgated. Social implications The paper concludes that religious-minded people are more open to the idea of investing in SRI. India, being is a religious-minded country, the results of this study suggest that there is good potential for the development of SRI in India. Originality/value Empirical evidence regarding the relationship of SRI intention with its determinants is limited in Asian countries. Prior literature mainly provides evidence from developed countries where social and governance systems are comparatively stronger. The study provides evidence for the bright future of SRI in India, where investor’s beliefs are dominated by their religious values.


foresight ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sara V. Fernandez ◽  
David Sadat ◽  
Farita Tasnim ◽  
Daniel Acosta ◽  
Laura Schwendeman ◽  
...  

Purpose Although conformable devices are commonly designed to couple with the human body for personalized and localized medicine, their applications are expanding rapidly. This paper aims to delineate this expansion and predict greater implications in diverse fields. Design/methodology/approach Today’s device technologies continue to face fundamental obstacles preventing their seamless integration with target objects to effectively access, evaluate and alter self-specific physical patterns, while still providing physical comfort and enabling continuous data collection. Due to their extreme mechanical compliance, conformable devices permit the query of signals occurring at interfaces so as to decode and encode biological, chemical and mechanical patterns with high resolution, precision and accuracy. These unique and versatile capabilities allow for a marked change in the approach to tackling scientific questions, with the ability to address societal challenges at large. Findings Here, this study highlights the current state of these devices in a wide range of fields, such as interactive teaching, textiles, robotics, buildings and infrastructure, agriculture, climate and space, and further forecasts essential features of these devices in the near future. Originality/value This study justifies conformable devices’ growing utility through a novel quantitative analysis methodology that indexes peer-reviewed journal articles based on specific keywords, whereby this study tracks keyword frequency over time across specific fields in conjunction with conformability-like topics. The resulting trends’ trajectories provide the foundation for this study’s future projections. This study concludes with a perspective on the possible challenges concomitant with a ubiquitous presence of these technologies, including manufacturing, wireless communication, storage, compression, privacy and sharing of data, environmental sustainability, avoidance of inequality and bias and collaboration between stakeholders at all levels of impact.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sarah Melvoin Bridich

PurposeThis paper explores how leaders of new public high schools – one charter and two innovation schools – navigated the journey from school-in-theory to school-in-practice during the school's first three years. School leaders at charter and innovation schools have increased freedom over curriculum, budget, scheduling and personnel when compared to leaders in traditional public schools.Design/methodology/approachUsing case study research, this qualitative, multisite study of school leaders at three schools in an urban district in Colorado examined the realities leaders experienced during the first three years of their schools. School leaders participated in semi-structured interviews, which were coded and analyzed for data individual to each school and across the three schools. Initial school design plans and district accountability data were also reviewed.FindingsThe study identified two distinct challenges for leaders of these new schools: (1) opening a new school contributes to burnout among school leaders and (2) school leaders face systemic, district-level barriers that impede implementation of a school's founding mission and vision.Research limitations/implicationsA qualitative study of three standalone charter and innovation schools in one urban school district limits generalizability.Originality/valueThe lived experience of school leaders at new, standalone charter and innovation schools is largely neglected in empirical studies. This research illuminates key struggles school leaders experience as they seek to establish new schools with fidelity to district-approved school plans.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adorkor Bruce-Konuah ◽  
Rory V. Jones ◽  
Alba Fuertes

PurposeThe purpose of this paper is to present a methodology for estimating scheduled and manual override heating events and heating settings from indoor air temperature and gas use measurements in UK homes.Design/methodology/approachLiving room air temperature and gas use data were measured in ten UK homes built to low energy standards. The temperature measurements are used to establish whether the central heating system is turned on or off and to estimate the heating setpoint used. The estimated heating periods are verified using the homes' average daily gas consumption profiles.FindingsUsing this method, the average number of heating periods per day was 2.2 (SD = 0.8) on weekdays and 2.7 (SD = 0.5) on weekends. The weekday mean heating duration was 8.8 h and for weekends, it was 9.8 h. Manual overrides of the settings occurred in all the dwellings and added an average of 2.4 h and 1.5 h to the heating duration on weekdays and weekends respectively. The mean estimated setpoint temperatures were 21.2 and 21.4°C on weekdays and weekends respectively.Research limitations/implicationsManual overrides of heating behaviours have only previously been assessed by questionnaire survey. This paper demonstrates an alternative method to identifying these manual override events and responds to a key gap in the current body of research that little is currently reported on the frequency and duration of manual heating overrides in UK homes.Practical implicationsThe results could be used to better inform the assumptions of space heating behaviour used in energy models in order to more accurately predict the space heating energy demands of dwellings.Originality/valueManual overrides of heating behaviours have only previously been assessed by questionnaire survey. This paper demonstrates an alternative method to identifying these manual override events and responds to a key gap in the current body of research that little is currently reported on the frequency and duration of manual heating overrides in UK homes.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fayaz Ahmad Loan ◽  
Ufaira Yaseen Shah

PurposeThe present study aims to measure the global research landscape on coronavirus indexed in the Web of Science from 1989 to 2020. The study examines growth rates, authorship trends, institutional productivity, collaborative networks and prominent authors, institutions and countries.Design/methodology/approachThe research literature on coronavirus published globally and indexed in the Web of Science core collection was retrieved using the term “Coronavirus” and its related and synonymous terms (e.g. COVID-19, SARS-COV, SARS-COV-2 and severe acute respiratory syndrome coronavirus) as per the Medical List of Subject Headings. A total of 5,625 publications were retrieved; however, the study was restricted to articles only (i.e. 4,471), and other document types were excluded. Quantitative and visualization techniques were used for data analysis and interpretation. VOSViewer software was employed to map collaborative networks of authors, institutions and countries.FindingsA total of 4,471 articles have been published on coronavirus by 99 countries of the world with the maximum contribution from the USA, followed by the People's Republic of China. The United States, China, Canada, Netherlands and Germany are the front runners in the collaborative network and form strong sub-networks with other countries as well. More than 1,000 institutions collaborate in the field of coronavirus research among 99 contributing countries. The authorship pattern shows that 97.5% of publications are contributed by authors in collaboration in which 77.5% of publications are contributed by four or more than four authors. The range between degree of collaboration (DC) varies from 0.89 in 1993 to 1 in 2000 with an average of 0.96 from 1989 to 2020. The results confirm that the coronavirus research is carried out in teamwork at the individual, institutional and global levels with high magnitude and density of collaboration. The relative growth of the literature has shown inconsistency as a decreasing trend has been observed from 2007 onwards, thereby increasing the doubling time from 4.2 in the first ten years to 17.3 in the last ten years.Research limitationsThe study is limited to the publications indexed in the Web of Science; the findings cannot be generalized across other databases.Practical implicationsThe results of the study may help medical scientists to identify the progress in COVID-19 research. Besdies, it will help to identify the prolific authors, institutions and countries in the development of research.Social implicationsThe current COVID-19 pandemic poses urgent and prolonged threats to the health and well-being of the population worldwide. It has not only attacked the health of the people but the economy of nations as well. Therefore, it is feasible to know the research landscape of the disease to conquer the problem.Originality/valueThe current COVID-19 pandemic poses urgent and prolonged threats to the health and well-being of the population worldwide. It has not only attacked the health of the people but also the economy of nations as well. Therefore, it is feasible to know the research landscape of the disease to conquer the problem.


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