bluuebunny/crossref_metadata_2025_split huggingface dataset:
Managing consumer privacy concerns and defensive behaviours in the digital marketplace
Authors: Bandara Ruwan , Fernando Mario , Akter Shahriar 
Published: August 2020

PurposeThe purpose of this study is to examine privacy issues in the e-commerce context from a power-responsibility equilibrium theory (PRE) perspective.Design/methodology/approachThe data was collected using an online survey (n= 335) from online shopping consumers. This study used partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) techniques to empirically examine the proposed relationships.FindingsA lack of corporate privacy responsibility and regulatory protection can deprive consumers of privacy empowerment and damage consumer trust to trigger privacy concerns and subsequent defensive responses. Also, the fsQCA revealed five causal configurations to explain high consumer defensive behaviours.Research limitations/implicationsThis study identifies the importance of PRE theory in the privacy context. Consumer privacy concerns, privacy empowerment and trust are established as strong mediators between corporate/regulatory privacy protection efforts and consumer backlash. The application of fsQCA verified that consumer privacy behaviour can be better explained by different configurations of the same causal antecedents.Practical implicationsThe findings highlight the importance of increasing trust and privacy empowerment as mechanisms to manage privacy concerns and consumer backlash through responsible organisational and regulatory privacy protections. The importance of balancing power and responsibility dynamics for maintaining a healthy information exchange environment is identified.Originality/valueThis study extends the PRE framework of privacy to include corporate privacy responsibility, privacy empowerment and trust. This is one of the first studies to explore both antecedents and outcomes of privacy empowerment. Also, the application of complexity theory and fsQCA to explain consumers’ defensive responses is novel to the literature.
Grey theory–based BP-NN co-training for dense sequence long-term tendency prediction
Authors: Hong Yuling , Yang Yingjie , Zhang Qishan 
Published: August 2020

PurposeThe purpose of this paper is to solve the problems existing in topic popularity prediction in online social networks and advance a fine-grained and long-term prediction model for lack of sufficient data.Design/methodology/approachBased on GM(1,1) and neural networks, a co-training model for topic tendency prediction is proposed in this paper. The interpolation based on GM(1,1) is employed to generate fine-grained prediction values of topic popularity time series and two neural network models are considered to achieve convergence by transmitting training parameters via their loss functions.FindingsThe experiment results indicate that the integrated model can effectively predict dense sequence with higher performance than other algorithms, such as NN and RBF_LSSVM. Furthermore, the Markov chain state transition probability matrix model is used to improve the prediction results.Practical implicationsFine-grained and long-term topic popularity prediction, further improvement could be made by predicting any interpolation in the time interval of popularity data points.Originality/valueThe paper succeeds in constructing a co-training model with GM(1,1) and neural networks. Markov chain state transition probability matrix is deployed for further improvement of popularity tendency prediction.
Public leadership and strategies of Czech municipalities during the COVID-19 pandemic – municipal activism vs municipal passivism
Authors: Plaček Michal , Špaček David , Ochrana František 
Published: August 2020

PurposeThis paper discusses the role of public leadership and the strategic response of local governments to the external shock caused by the COVID-19 pandemic. The authors examine the typical Czech response with regard to how the leadership of municipalities in the Czech Republic responded to this extremely negative external stimulus.Design/methodology/approachThe authors use qualitative research methods for this investigation. They have chosen the case study method (see Yin, 2009; Stake, 1995; Klonoski, 2013). The general case is the Czech Republic. Mini-cases consist of municipalities from the Znojmo region, municipalities of the Central Bohemian region and the municipal districts in the capital city of Prague. Furthermore, the method of participant observation was used.FindingsThe authors’ analysis of the problem of local government responses to the pandemic crisis shows that municipal leaders responded with a variety of (non-)adaptation strategies. It appears that certain framework factors influenced the various local governments' behavior.Originality/valueThe article examines the strategic behavior of Czech municipal leaders regarding the pandemic crisis based on the observation of the reactions of local governments in the Czech Republic to the pandemic crisis and strives to define their basic strategies.
The impact of information sharing legislation on cybersecurity industry
Authors: Yang Agnes , Kwon Young Jin , Lee Sang-Yong Tom 
Published: August 2020

PurposeThe objective of this paper is to investigate how firms react to cybersecurity information sharing environment where government organizations disseminate cybersecurity threat information gathered by individual firms to the private entities. The overall impact of information sharing on firms' cybersecurity investment decision has only been game-theoretically explored, not giving practical implication. The authors therefore leverage the Cybersecurity Information Sharing Act of 2015 (CISA) to observe firms' attitudinal changes toward investing in cybersecurity.Design/methodology/approachThe authors design a quasi-experiment where they set US cybersecurity firms as an experimental group (a proxy for total investment in cybersecurity) and nonsecurity firms as a control group to measure the net effect of CISA on overall cybersecurity investment. To enhance the robustness of the authors’ difference-in-difference estimation, the authors employed propensity score matched sample test and reduced sample test as well.FindingsFor the full sample, the authors’ empirical findings suggest that US security firms' overall performance (i.e. Tobin's Q) improved following the legislation, which indicates that more investment in cybersecurity was followed by the formation of information sharing environment. Interestingly, big cybersecurity firms are beneficiaries of the CISA when the full samples are divided into small and large group. Both Tobin's Q and sales growth rate increased for big firms after CISA.Research limitations/implicationsThe authors’ findings shed more light on the research stream of cybersecurity and information sharing, a research area only explored by game-theoretical approaches. Given that the US government has tried to enforce cybersecurity defensive measures by building cooperative architecture such as CISA 2015, the policy implication of this study is far-reaching.Originality/valueThe authors’ study contributes to the research on the economic benefits of sharing cybersecurity information by finding the missing link (i.e. empirical evidence) between “sharing” and “economic impact.” This paper confirms that CISA affects the cybersecurity industry unevenly by firm size, a previously unidentified relationship.
Coding vs presenting: a multicultural study on emotions
Authors: Colomo-Palacios Ricardo , Casado-Lumbreras Cristina , Álvarez-Rodríguez José María , Yilmaz Murat 
Published: August 2020

PurposeThe purpose of this paper is to explore and compare emotions perceived while coding and presenting for software students, comparing three different countries and performing also a gender analysis.Design/methodology/approachEmpirical data are gathered by means of the discrete emotions questionnaire, which was distributed to a group of students (n = 174) in three different countries: Norway, Spain and Turkey. All emotions are self-assessed by means of a Likert scale.FindingsThe results show that both tasks are emotionally different for the subjects of all countries: presentation is described as a task that produces mainly fear and anxiety; whereas coding tasks produce anger and rage, but also happiness and satisfaction. With regards to gender differences, men feel less scared in presentation tasks, whereas women report more desire in coding activities. It is concluded that it is important to be aware and take into account the different emotions perceived by students in their activities. Moreover, it is also important to note the different intensities in these emotions present in different cultures and genders.Originality/valueThis study is among the few to study emotions perceived in software work by means of a multicultural approach using quantitative research methods. The research results enrich computing literacy theory in human factors.
Listening to action: community involvement in strategy development
Authors: Oldam Lonan A. , Cruz Giovanna I. , McGhee Sarah M. , Morris Lottie , Watson Judi , Mills Anne 
Published: August 2020

PurposePalliative care requires integration between services, organisations and the community. A series of community engagement programmes, named “Listening Events”, were conducted across the Isle of Man. The aim was to involve the community in the development of Hospice strategy by sharing their views on the future of palliative and end of life care.Design/methodology/approachThree Listening Event programmes were conducted in community settings, secondary schools and the Isle of Man’s University College. The investigators facilitated discussions on current knowledge of Hospice services, what would matter to people should they need to use these, and how Hospice could best serve the community in the future. Participants and investigators noted thoughts and comments. Data were analysed using thematic analysis.FindingsIn total, 899 people participated from across the community. Main themes surrounded effective care, person-centred care and integrated care. Most themes agreed across the three programmes, despite some nuances.Originality/valueThe results were used as an evidence base from which Hospice Isle of Man’s new strategy was derived in order to ensure that it aligned with the community’s needs. By initiating conversations and discussions in the community, the Listening Events may have also increased understanding about hospice care.
Favorable effects ofGlobularia alypumon cardiometabolic markers in high fructose-fed rats
Authors: Bahlil Yasmina , Krouf Djamil , Mellouk Zoheir , Taleb-Dida Nawal , Guenzet Akila 
Published: August 2020

PurposeThis study aims to examine whetherGlobularia alypum(Ga) lyophilized aqueous leaves extract treatment improves cardiometabolic syndromes such as hyperglycemia, lipid profiles and oxidative damage resulting from a high-fructose diet induced in hypertriglyceridemic rats.Design/methodology/approachA total of 24 male Wistar rats weighing 80 ± 5 g were first randomly divided into 2 groups. A total of 12 control rats (C) were fed a standard-diet (St-D) and 12 high fructose (HF) rats were fed a high-fructose diet (HF-D) containing St-D in which cornstarch was substituted by fructose (61.4%). After 15 weeks of feeding, body weight (BW) was about 320 ± 20 g and hypertriglyceridemia was noted in HF vs C group (2.69 ± 0.49 mmol/L) vs (1.25 ± 0.33 mmol/L). Each group of rats was then divided into two equal groups (n= 6) and fed during four weeks either a St-D or HF-D, treated or not with 1% ofGaextract (C-Ga) and (HF-Ga). After 28 days, fasting rats were anesthetized and blood and tissues were removed to measure biochemical parameters.FindingsThe results showed no significant differences in BW and insulinemia between all groups.Gaextract supplementation reduced glycemia (−36%), glycosylated hemoglobin (−37%), Homeostasis Model of Assessment-Insulin Resistance index (−34%) and triacylglycerol’s contents in plasma (−33%), very low density lipoproteins–low density lipoproteins (VLDL-LDL) (−48%), liver (−52%) and aorta (−39%); total cholesterol concentrations in aorta was 3.7-fold lower in HF-Ga vs HF group.Gatreatment reduced lipid peroxidation in plasma, VLDL-LDL, red blood cells (RBC), liver, muscle and kidney by improving superoxide dismutase (SOD) activity and glutathione peroxidase (GPx) in RBC and catalase (CAT) activity in kidney (p< 0.05). Moreover,Gaameliorates glutathione (GSH) production in RBC (+41%) and kidney tissues (+35%).Originality/valueGaextract ameliorated cardiometabolic syndrome by its hypotriglyceridemic effect and prevented development of insulin resistance. It reduces lipid peroxidation by enhancing non-enzymatic (GSH) and enzymatic (SOD, GPx and CAT) antioxidant defense systems in high-fructose hypertriglyceridemic rats. Therefore, supplementation ofGaleaves extract as an adjuvant could be used for the treatment of hypertriglyceridemia and the prevention and/or the management of cardio-metabolic adverse effects.
Multigroup analysis of higher-order model of knowledge variables in the context of global ventures through PLS-SEM
Authors: Aggarwal Vijita S. , Kapoor Madhavi 
Published: August 2020

PurposeThe study purports at investigating the effect of organizational factors (strategy, culture, information technology and structure) on knowledge transfer and innovation performance in the context of Indian International joint ventures (IJVs) of varied ages and industries. All the variables are woven together in the framework of dynamic capabilities theory.Design/methodology/approachPLS-SEM was used to analyze the primary data collected from IJVs. The disjoint two-stage approach was applied to check the mediation in the model. The multigroup technique was deployed to test group-differences in the sample.FindingsThe four organizational factors, combined as a construct, are seen to have a positive impact on knowledge transfer, which facilitates innovation performance. But mediation analysis revealed the insignificant indirect relationship of organizational factors with innovation through knowledge transfer for the total sample. In-depth group analysis revealed that these results differ between young and mature IJVs and knowledge-intensive and non-knowledge intensive industries.Research limitations/implicationsThe number of organizational factors is limited to four, which can be further increased. Longitudinal studies for investigating the formation of dynamic capabilities can be the future research direction.Originality/valueThe research has provided hierarchical analysis for organizational factors, knowledge transfer and innovation performance with multigroup industrial and age-wise analysis of Indian IJVs, which is still unplumbed in international business literature.
Lean Six Sigma competitiveness for micro, small and medium enterprises (MSME): an action research in the Indian context
Authors: Bhat Shreeranga , Gijo E.V. , Rego Anil Melwyn , Bhat Vinayambika S. 
Published: August 2020

PurposeThe aim of the article is to ascertain the challenges, lessons learned and managerial implications in the deployment of Lean Six Sigma (LSS) competitiveness to micro, small and medium Enterprises (MSME) in India and to establish doctrines to strengthen the initiatives of the government.Design/methodology/approachThe research adopts the Action Research methodology to develop a case study, which is carried out in the printing industry in a Tier III city using the LSS DMAIC (Define-Measure-Analyze-Improve-Control) approach. It utilizes LSS tools to deploy the strategy and to unearth the challenges and success factors in improving the printing process of a specific batch of a product.FindingsThe root cause for the critical to quality (CTQ) characteristic, turn-around-time (TAT) is determined and the solutions are deployed through the scientifically proven data-based approach. As a result of this study, the TAT reduced from an average of 1541.2–1303.36 min, which in turn, improved the sigma level from 0.55 to 2.96, a noteworthy triumph for this MSME. The company realizes an annual savings of USD 12,000 per year due to the success of this project. Top Management Leadership, Data-Based Validation, Technical Know-how and Industrial Engineering Knowledge Base are identified as critical success factors (CSFs), while profitability and on-time delivery are the key performance indicators (KPIs) for the MSME. Eventually, the lessons learned and implications indicate that LSS competitiveness can be treated as quality management standards (QMS) and quality tools and techniques (QTT) to ensure competitive advantage, sustainable green practices and growth.Research limitations/implicationsEven though the findings and recommendations of this research are based on a single case study, it is worth noting that the case study is executed in a Tier III city along with novice users of LSS tools and techniques. This indicates the applicability of LSS in MSME and thus, the modality adopted can be further refined to suit the socio-cultural aspects of India.Originality/valueThis article illustrates the deployment of LSS from the perspective of novice users, to assist MSME and policymakers to reinforce competitiveness through LSS. Moreover, the government can initiate a scheme in line with LSS competitiveness to complement the existing schemes based on the findings of the case study.
Towards an Understanding of Privacy Management Architecture in Big Data: An Experimental Research
Authors: Hajli Nick , Shirazi Farid , Tajvidi Mina , Huda Nurul 
Published: August 2020

AbstractBig data analytics provide valuable information allowing organizations to gain insights that grant them a competitive advantage in the market. However, it also provides access to data that compromise people's privacy. The development of sophisticated technologies for data analysis has resulted in a growing concern around privacy management in big data. While many sites (e.g. Facebook) require the user to provide personal information to access their services, others (e.g. Google search) can automatically capture or trace user activities and use that data to acquire personal demographic information. Therefore, Internet users are – willingly or unwillingly – constantly disclosing sensitive personal information. In addition, users do not get a complete picture of how their personal information is disseminated online. In this paper, we investigate information privacy through an experiment using large‐scale disclosure of personal web activity data to track fragments of personal information released over a period of time. This experiment gives a clear picture of the potential privacy losses of individual users based on released personal information and activities at different websites. By devising an enterprise architecture using a privacy‐by‐design framework, this study provides a useful guide to addressing the managerial challenges of privacy management.
Mass spectrometry‐based lipidomics in food science and nutritional health: A comprehensive review
Authors: Sun Tong , Wang Xincen , Cong Peixu , Xu Jie , Xue Changhu 
Published: August 2020

AbstractWith the advance in science and technology as well as the improvement of living standards, the function of food is no longer just to meet the needs of survival. Food science and its associated nutritional health issues have been increasingly debated. Lipids, as complex metabolites, play a key role both in food and human health. Taking advantages of mass spectrometry (MS) by combining its high sensitivity and accuracy with extensive selective determination of all lipid classes, MS‐based lipidomics has been employed to resolve the conundrum of addressing both qualitative and quantitative aspects of high‐abundance and low‐abundance lipids in complex food matrices. In this review, we systematically summarize current applications of MS‐based lipidomics in food field. First, common MS‐based lipidomics procedures are described. Second, the applications of MS‐based lipidomics in food science, including lipid composition characterization, adulteration, traceability, and other issues, are discussed. Third, the application of MS‐based lipidomics for nutritional health covering the influence of food on health and disease is introduced. Finally, future research trends and challenges are proposed. MS‐based lipidomics plays an important role in the field of food science, promoting continuous development of food science and integration of food knowledge with other disciplines. New methods of MS‐based lipidomics have been developed to improve accuracy and sensitivity of lipid analysis in food samples. These developments offer the possibility to fully characterize lipids in food samples, identify novel functional lipids, and better understand the role of food in promoting healt.
Nanoemulsions: Using emulsifiers from natural sources replacing synthetic ones—A review
Authors: Dammak Ilyes , Sobral Paulo José do Amaral , Aquino Adriano , Neves Marcos Antônio das , Conte‐Junior Carlos Adam 
Published: August 2020

AbstractIn recent years, substantial consideration within the food industry has been aimed at the development of food‐grade nanoemulsions (NE) as promising systems for encapsulating, stabilizing, and delivering bioactive compounds. Although numerous studies have revealed the critical potential of NE, there are still several challenges to overcome them. These include the extensive amounts of synthetic emulsifiers needed for NE formulation, which can potentially be toxic for human health. The interest in safety, and natural emulsifiers have stimulated food manufacturers to develop "label‐friendly" formulations by replacing synthetic emulsifiers with natural alternatives. This review represents a critical and comprehensive summary of the application of natural emulsifiers as potential substitutes for synthetic emulsifiers in NE production, with particular emphasis on the newly identified natural emulsifiers. Some recent reports showed the excellent emulsifying properties of various natural emulsifier extracted from natural resources, to produce NE, and therefore, might be generalized for further industrial applications. Future trends are encouraged to identify novel natural emulsifiers from industrial food by‐products that may demonstrate highly effective emulsifiers.