Network efficient topology for low power and lossy networks in smart corridor design using RPL

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sakshi Garg ◽  
Deepti Mehrotra ◽  
Sujata Pandey ◽  
Hari Mohan Pandey
Keyword(s):  
Low Power ◽  
Hybrid Model ◽  
Network Performance ◽  
Mobile Nodes ◽  
Lossy Networks ◽  
Star Topology ◽  
Content Type ◽  
Average Improvement ◽  
Proposed Model ◽  
The Impact

Purpose This paper aims to determine the network efficient topology for low power and lossy networks (LLNs) using routing protocol for LLN (RPL) with respect to the increase in network size and propose a novel approach to overcome the shortcomings of the existing models. Design/methodology/approach The authors have used Contiki OS/Cooja simulator to conduct experiments on primarily four topologies (star, bus/linear, ring/eclipse and random). They have implemented RPL protocol using Sky motes for each topology from 10, 20, 30 and up to 70 nodes. Consequently, after 24 h of experimentation, the readings have been noted and, alongside, a comprehensive comparative analysis has been performed based on the network density and metric parameters: packet delivery ratio (PDR), expected transmission (ETX) and power consumption. Further, a hybrid model is proposed where the additional factors of mobility, multiple sink and a combination of static and mobile nodes are introduced. The proposed model is then compared with the star model (all static nodes and star topology) and the dynamic model (all mobile nodes) to analyze the efficiency and network performance for different network sizes (28, 36, 38 and 44 nodes). The mobility is introduced using BonnMotion tool in Contiki OS. Findings Simulation results have shown that the star topology is most network efficient when compared with bus/linear, ring/eclipse and random topologies for low density and high scalable network. But when the same setup is compared with the proposed hybrid model, the proposed model shows a significant improvement and gives the best and efficient network performance with highest PDR (average improvement approximately 44.5%) and lowest ETX (average improvement approximately 49.5%) comparatively. Practical implications Also, these findings will benefit the deployment of smart devices used in advanced metering infrastructure, road side units and in various industrial applications such as traffic monitoring system, electronic toll collection and traffic analysis in the smart grid infrastructure. Originality/value The impact of topology is significant and detailed analysis is required to understand the impact of different topologies of the nodes in the network for the present and the future scenarios. As very few research studies have discussed this gap, this research paper is quintessential and shall open novel future potential direction. Also, the proposed approach of hybrid model with mobility has not been considered in the literature yet.

Performance measurement and resource sharing among business sub-units in the presence of non-discretionary factors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rita Shakouri ◽  
Maziar Salahi
Keyword(s):  
Resource Sharing ◽  
Content Type ◽  
Development Level ◽  
Proposed Model ◽  
Decision Making Unit ◽  
Efficiency Estimation ◽  
Overall Efficiency ◽  
And Performance ◽  
The Right ◽  
The Impact

Purpose This paper aims to apply a new approach for resource sharing and efficiency estimation of subunits in the presence of non-discretionary factors and partial impacts among inputs and outputs in the data envelopment analysis (DEA) framework. Design/methodology/approach First, inspired by the Imanirad et al.’s model (2013), the authors consider that each decision-making unit (DMU) may consist of several subunits, that each of which can be affected by non-discretionary inputs. After that, the Banker and Morey’s model (1996) is used for modeling non-discretionary factors. For measuring performance of several subunits, which can be considered as DMUs, the aggregate efficiency is suggested. At last, the overall efficiency is computed and compared with each other. Findings One of the important features of proposed model is that each output in this model applies discretionary input according to its need; therefore, the result of this study will make it easier for the managers to make better decisions. Also, it indicates that significant predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the influence of non-discretionary input. Therefore, the proposed model provides a more reasonable and encompassing measure of performance in participating non-discretionary and discretionary inputs to better efficiency. An application of the proposed model for gaining efficiency of 17 road patrols is provided. Research limitations/implications More non-discretionary and discretionary inputs can be taken into consideration for a better analysis. This study provides us with a framework for performance measures along with useful managerial insights. Focusing upon the right scope of operations may help out the management in improving their overall efficiency and performance. In the recent highway maintenance management systems, the environmental differences exist among patrols and other geotechnical services under the climate diverse. Further, in some cases, there might exist more than one non-discretionary factor that can have different effects on the subunits’ performance. Practical implications The purpose of this paper was to measure the performance of a set of the roadway maintenance crews and to analyze the impact of non-discretionary inputs on the efficiency of the roadway maintenance. The application of the proposed model, on the one hand, showed that each output in this model uses discretionary input according to its requirement, and on the other hand, the result showed that meaningful predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the impact of non-discretionary input. Originality/value Providing information on resource sharing by taking into account non-discretionary factors for each subunit can help managers to make better decisions to increase the efficiency.

The use of open government data to citizen empowerment: an empirical validation of a proposed model

foresight ◽  
2018 ◽  
Vol 20 (6) ◽  
pp. 665-680 ◽  
Author(s):  
Md Nahin Hossain ◽  
Md Shamim Talukder ◽  
Md Rakibul Hoque ◽  
Yukun Bao
Keyword(s):  
The Body ◽  
Open Government ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Proposed Model ◽  
Open Government Data ◽  
Citizen Empowerment ◽  
Government Data ◽  
The Impact

Purpose The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment. Design/methodology/approach This study advances the body of knowledge on OGD by proposing an integrated research model based on transparency, accountability, participation and collaboration dimensions. The research model was empirically tested using 275 responses using the on-paper survey from the university students and professionals in Bangladesh. Data were analyzed using the structured equation modeling technique. Findings Findings revealed that transparency and participation have a positive and significant direct and indirect influence on citizen empowerment through accountability and collaboration. Overall, the four basic pillars of OGD such as transparency, participation, accountability and collaboration interrelated with each other and have the impact on citizen empowerment. Research limitations/implications This study has proposed an instrument that sums the dimensions of open government, which avoids tautology and redundancy among OGD dimensions. More research should be done to validate the proposed model and the instruments used in this study. Practical implications For the researchers, this study provides a basis for further refinement of individual models of empowerment. For practitioners, understanding the key constructs is crucial to design, refine and implement OGD systems and applications that empower citizens, create public values and strengthen the democratic process. Originality/value This research is the first step that empirically investigates the impact of OGD on citizen empowerment which is the ultimate goals of any democratic government.

Modelling the significance of social support and entrepreneurial skills for determining entrepreneurial behaviour of individuals

2018 ◽  
Vol 14 (3) ◽  
pp. 242-266 ◽  
Author(s):  
Muhammad Shoaib Farooq
Keyword(s):  
Social Support ◽  
Explanatory Power ◽  
Entrepreneurial Intention ◽  
Subjective Norms ◽  
Policy Makers ◽  
Content Type ◽  
Entrepreneurial Behaviour ◽  
Entrepreneurial Skills ◽  
Proposed Model ◽  
The Impact

Purpose Although entrepreneurial behaviour is considered a key element for economic development, yet very less is known about the determinants of factors leading towards entrepreneurial intention and behaviour. In order to bridge this gap, the purpose of this paper is to investigate the role of social support and entrepreneurial skills in determining entrepreneurial behaviour of individuals. Developing on the base of the theory of planned behaviour (TPB), this study investigates the relationship between social support, entrepreneurial skills and entrepreneurial behaviour along with existing constructs of the TPB (i.e. attitude, subjective norms, perceived behavioural control and entrepreneurial intention). Design/methodology/approach Data was collected from 281 respondents using a simple random sampling method, and the variance-based partial least-squares, structural equation modelling (PLS-SEM) approach was used for testing the proposed conceptual model. Findings Findings of this study have validated the proposed model, which have an explanatory power of 68.3 per cent. Moreover, findings reveal that social support and entrepreneurial skills have a significant impact on entrepreneurial intention of individuals. However, an unanticipated and non-significant relation between subjective norms and entrepreneurial intention is also found. Research limitations/implications Due to the limited scope of this study, a multi-group analysis is not possible, which is considered as a limitation of this study. Moreover, due to time constraints, this study is conducted within a specified time-frame; however, a longitudinal study over a period of three to six years can overcome this limitation. Practical implications Findings of this study are expected to have substantial implications for policy makers, future researchers and academicians. Outcomes of this study can help to better understand the cognitive phenomenon of nascent entrepreneurs. Moreover, it is expected that this study can serve as a torch-bearer for policy makers to develop better entrepreneurial development programmes, policies and initiatives for promoting self-employment behaviour. Originality/value Findings of this study are a unique step forward and offer new insights towards a better understanding of the determinants of entrepreneurial behaviour. Moreover, this study extends Ajzen’s (1991) TPB in the context of entrepreneurial behaviour. By introducing and investigating the impact of two new variables, i.e. social support and entrepreneurial skills in the TPB and by validating the proposed model with PLS-SEM approach, this study makes a sizeable theoretical, methodological and contextual contribution in the overall body of knowledge.

Network Performance Enhancement of Multi-sink Enabled Low Power Lossy Networks in SDN Based Internet of Things

2018 ◽  
Vol 48 (2) ◽  
pp. 367-398 ◽  
Author(s):  
Ghulam Shabbir ◽  
Adeel Akram ◽  
Muhammad Munwar Iqbal ◽  
Sohail Jabbar ◽  
Mai Alfawair ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Network Performance ◽  
Performance Enhancement ◽  
Lossy Networks

A quality system’s impact on the service experience

2017 ◽  
Vol 37 (12) ◽  
pp. 1817-1839 ◽  
Author(s):  
Jeffery Smith ◽  
Sidney Anderson ◽  
Gavin Fox
Keyword(s):  
Service Quality ◽  
Social Systems ◽  
Theory And Practice ◽  
Service Experience ◽  
Content Type ◽  
Proposed Model ◽  
The Social ◽  
Two Samples ◽  
The Impact ◽  
Integrated Service

Purpose The purpose of this paper is to examine the interplay between technical and social systems within an organization that potentially affect the service experience, as perceived by end customers. Design/methodology/approach The paper explores the potential impact of an integrated service quality system on the service experience. A conceptual model is presented, accompanied by a detailed development of the hypotheses. Two samples (Study 1: n=474, Study 2: n=225) of consumers are used to empirically test the proposed model. Findings The analysis reveals the impact a technical system has on employees’ inherent abilities (i.e. the social system), which, in turn, affect the overall assessment by customers. Additionally, the situation in which an employee works (i.e. operating environmental conditions) results in differences in the model. Research limitations/implications This paper’s main implication is this paper employs established theory to develop a model that is empirically tested to show that implementing and maintaining a quality-oriented service system can positively influence the overall customer experience. The limitations are based primarily on the methodology in which individual employees assessed all aspects of both the social and technical systems. Practical implications Managers should be diligent in their design and implementation of the quality components as these affect the work setting in which employees operate. Originality/value Prior research has neither explored an integrated service quality system’s impact on the service experience nor employed an established theoretical framework. This work accomplishes both with the results providing contributions to both theory and practice.

Can collaborative buffering strategies reduce distribution costs while improving product returns?: A case of an Asian e-retailer

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhavin Shah ◽  
Gaganpreet Singh
Keyword(s):  
Customer Value ◽  
Time Windows ◽  
Value Added ◽  
Revenue Sharing ◽  
Content Type ◽  
Profit Margins ◽  
Return Policies ◽  
Buffer Time ◽  
Proposed Model ◽  
The Impact

PurposeIn order to achieve competitive advantage over the physical marketplace, the e-retailers are insisted on endowing with lenient return policies. The piece-wise returns-and-reordering process incurs excessive buffering and unwanted logistics costs which raises overall fulfillment charges. The objective of this study is to re-design e-retail distribution policy by providing temporal storage at logistics service provides' (LSP) location. The impact of recurrent returns on pricing and profit margins are also investigated over time continuum.Design/methodology/approachA framework is developed to reduce the non-value added (NVA) storage and distribution efforts by providing collaborative buffering between LSP and e-retailer. The knapsack based buffering approach is tested and compared with traditional e-retail distribution practices. The revenue sharing concept is mathematically modelled and implemented in GAMS, which finally validated through multiple return scenarios.FindingsThe proposed model outperforms the existing one under all scenarios with different configuration settings of re-ordering, profit margins, and buffer time windows. The distribution cost is found, linearly related to the necessary product buffering space. The findings help to re-design sustainable return policies for individual products so that maximum customer value can be yield with minimum costs.Research limitations/implicationsThis study helps to determine the NVA efforts incurred while storing and delivering multi-time returned products to ensure desired service levels. The revenue sharing model provides pricing strategies for e-retail practitioners deciding which product should store in what quantity for how much time at the shipping agency location so that it fulfils the re-ordering at least waiting and sufficient buffering.Originality/valueThe proposed model extends the role of LPSs as temporary buffer providers to reduce returns-and-reordering fulfilment efforts in the e-retail network. This Collaborative framework offers an opportunity to amend the distribution contracts and policies time by time that enhances e-retailer's performance and customer satisfaction.

scholarly journals Follower emotional intelligence

2019 ◽  
Vol 48 (5) ◽  
pp. 1239-1260
Author(s):  
J. Irudhaya Rajesh ◽  
Verma Prikshat ◽  
Paul Shum ◽  
L. Suganthi
Keyword(s):  
Emotional Intelligence ◽  
Structural Equation ◽  
Theoretical Perspective ◽  
Self Report ◽  
Content Type ◽  
Proposed Model ◽  
One Step ◽  
Cognitive Speed ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to understand the impact of transformational leadership (TL) on follower emotional intelligence (EI) and examine the potential mediation role played by follower EI in the relationship between TL and follower outcomes (i.e. growth satisfaction in the job and job stress (JS)). Design/methodology/approach Data were obtained through survey using questionnaire collected from 908 employees who worked across six different sectors, i.e. manufacturing, IT, healthcare, hospitality, educational and public services in Southern India. The mediation model proposed in this study was tested using structural equation modelling and bootstrapping method. Findings The relationship between TL and Follower EI was significant. Follower EI was found to partially mediate the relationship between TL and followers’ growth satisfaction in job. Contrary to expectations, the follower EI did not significantly predict JS in this study and hence the follower EI did not mediate in the proposed model. However, follower EI and growth satisfaction in the job jointly mediated the relationship between TL and follower JS fully. Research limitations/implications Self-report bias about supervisors’ TL behaviours and followers’ own EI assessment and collection of data from the mono-source (subordinate self-report) might have impacted the results of this study. Moreover, some items were negatively worded and reverse coded as cognitive speed bumps to restrain the respondent’s tendency to rush through answering the survey questionnaire. Practical implications This study established a partial and joint mediation of follower EI on the relationship between TL and follower outcomes. Basing on these findings, this study highlights the need for the practitioners to better understand the importance of EI training for the leaders in the organisations for obtaining better outcomes in the followers. Social implications The study establishes the fact that the attunement of transformational leaders’ EI and follower EI help leaders as well as followers to guide their behaviour towards positive outcomes. Originality/value This study is among the first to examine the impact of TL on follower EI and the potential mediation of follower EI between TL and follower outcomes. From a theoretical perspective, this study is one step closer to fully understand the intervening process between TL and follower outcomes.

Competition intensity as moderator for NPD success

2019 ◽  
Vol 11 (4) ◽  
pp. 618-647
Author(s):  
Tor Guimaraes ◽  
Ketan Paranjape
Keyword(s):  
New Product Development ◽  
Success Factors ◽  
Multivariate Regression Analysis ◽  
Manufacturing Companies ◽  
Competition Intensity ◽  
Content Type ◽  
Intense Competition ◽  
Proposed Model ◽  
The Impact

Purpose This study aims to test the moderating impact of competition intensity on the relationships between the new product development (NPD) success factors and company success in NPD. Design/methodology/approach A mailed questionnaire collected information from 311 manufacturing companies to test the proposed model with moderated multivariate regression analysis. Findings The results corroborate the impact of competition intensity on the relationships between the success factors individually and company success performing NPD. Research limitations/implications Despite the relatively broad scope of the proposed model, other success factors and/or moderating and mediating variables may also be important. As such, these variables should be identified and tested in future studies. Practical implications In practice, competition is viewed as an unavoidable factor beyond the control of managers within a company. Undeniably, competition is a great stimulant for business innovation. Thus, it is important for managers to understand the need, to focus attention managing the success factors most important to increase the likelihood of long-term success for NPD projects, particularly in markets under intense competition. Originality/value While the study is grounded on well-established literature, its major constructs originated from relatively isolated areas of knowledge. The major contribution is empirically testing an integrated model for variables considered important for success in NPD and the moderating effect of intense competition.

The impact of destination images on tourists’ decision making

2015 ◽  
Vol 6 (2) ◽  
pp. 174-194 ◽  
Author(s):  
Osama Sam Al-Kwifi
Keyword(s):  
Behavioral Intention ◽  
Brain Activation ◽  
Destination Image ◽  
Design Experiment ◽  
Content Type ◽  
Considerable Research ◽  
Behavior Study ◽  
Proposed Model ◽  
Study Participants ◽  
The Impact

Purpose – The purpose of this paper is to explore the influence of destination images on tourists’ behavioral intention to select a destination for their next vacation. Most of previous studies investigated this relationship by interacting with tourists during their stay in the destination. However, this research examines the impact of destination images before tourists visit a destination, using functional technological-oriented magnetic resonance imaging (fMRI) approach to track brain activation during the decision to select a destination. Design/methodology/approach – The proposed model is adopted from the theory of planned behavior. Study participants divide a set of hotel destination images into two groups: attractive and non-attractive destination images. A blocked design experiment was used during fMRI scan to track brain activities resulting from presenting the two groups of images to participants, and record the strength of their intention to visit the attractive destination. Findings – The level of brain activation at the ventromedial prefrontal cortex (vmPFC) increased when participants were asked to assess the attractive destination images compared with the level of activation for non-attractive ones. Also, the positive attitude toward an attractive destination led to higher intention to visit that destination. Research limitations/implications – This study enhances the authors’ understanding of how tourists analyze destination images to reach a decision on future action. It can also be used to help destination managers define an advertisement strategy that makes their destination more attractive. Originality/value – Although the literature reports considerable research on destination image and its influence on tourists intention, this is the first exploratory study to use the fMRI technology to investigate tourists’ attitude toward destination images.

E-commerce brand

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weisheng Chiu ◽  
Heetae Cho
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Content Type ◽  
Proposed Model ◽  
Gender And Age ◽  
Brand Leadership ◽  
The Impact ◽  
Over 40 Years

PurposeThe purpose of this paper is to investigate the influence of perceived brand leadership of an e-commerce website on satisfaction and repurchase intention. Moreover, the different roles of gender and age were explored in the proposed model.Design/methodology/approachAn online survey was administered to Chinese consumers (n=476) who have purchased products on e-commerce websites. Using SmartPLS 3.0 software, a partial least squares structural equation modeling analysis was conducted in this study.FindingsThe results showed that all factors of perceived brand leadership (i.e. quality, value, innovativeness and popularity) have positive influences on satisfaction, and in turn satisfaction significantly affects repurchase intention. Also, value and popularity have positive influences on repurchase intention. In addition, gender differences were found in the proposed model. More specifically, the influence of quality on satisfaction was stronger for male consumers, while the impact of popularity on satisfaction was stronger for female. In terms of age differences, the influence of quality on satisfaction was stronger for the consumers over 40 years old as compared to the younger consumers (i.e. the 20s). Moreover, the influence of innovativeness on satisfaction and repurchase intention was stronger for the 20s consumers as compared to the consumers who are over 40 years old.Originality/valueThis study attempts to apply the concept of brand leadership to the e-commerce setting by addressing differential consumption decision-making process. In addition, different gender and age groups reveal unique preferences and consumption patterns.

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