scholarly journals Stakeholder sentiment in service supply chains: big data meets agenda-setting theory

2021 ◽  
Author(s):  
Ray Qing Cao ◽  
Dara G. Schniederjans ◽  
Vicky Ching Gu
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Agenda Setting ◽  
Setting Theory ◽  
Service Supply Chains

scholarly journals Setting the Public Agenda in the Digital Communication Age

2016 ◽  
Vol 12 (2) ◽  
pp. 30 ◽  
Author(s):  
Diogenes Lycarião ◽  
Rafael Cardoso Sampaio
Keyword(s):  
Big Data ◽  
Agenda Setting ◽  
Digital Communication ◽  
Original Model ◽  
Great Power ◽  
Communication Research ◽  
The Public ◽  
Public Agenda ◽  
The Media ◽  
Setting Theory

The agenda-setting theory is one of the powerful study fields in communication research. Nevertheless, it is not a settled theory. Recent studies based on big data indicate seemingly contradictory results. While some findings reinforce McCombs and Shaw’s original model (i.e. the media set the public agenda), others demonstrate great power of social media to set media’s agenda, what is usually described as reverse agenda-setting. This article – based on an interactional model of agenda setting building – indicates how such results are actually consistent with each other. They reveal a complex multidirectional (and to some extent) unpredictable network of interactions that shape the public debate, which is based on different kinds of agenda (thematic or factual) and time lengths (short, medium or long terms).

scholarly journals The Dynamics of Public Attention: Agenda-Setting Theory Meets Big Data

2014 ◽  
Vol 64 (2) ◽  
pp. 193-214 ◽  
Author(s):  
W. Russell Neuman ◽  
Lauren Guggenheim ◽  
S. Mo Jang ◽  
Soo Young Bae
Keyword(s):  
Big Data ◽  
Agenda Setting ◽  
Public Attention ◽  
Setting Theory

Challenges with big data analytics in service supply chains in the UAE

2019 ◽  
Vol 57 (8) ◽  
pp. 2124-2147 ◽  
Author(s):  
Mehmood Khan
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
United Arab Emirates ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Second Phase ◽  
Content Type ◽  
Service Staff ◽  
Service Supply Chains ◽  
Practical Implications

Purpose The purpose of this paper is to study the challenges associated with big data analytics (BDA) in service supply chains in the United Arab Emirates (UAE). Design/methodology/approach A comprehensive questionnaire has been developed based on semi-structured interviews with different administrators and IT experts. In the second phase, data (n=164) are collected from procurement, operations, administration and customer service staff in the UAE. In the third phase, responses are examined using principal component analysis to identify eight major challenges for big data. A structural model is developed to examine the significance of these dimensions to the notion of big data challenges in supply chains. Findings The statistical model shows 66 percent variance of response to BDA, which is caused by technical, cultural, ethical, operational, tactical, procedural, functional and organizational challenges. These are positively correlated measurement challenges with BDA in service supply chains. Research limitations/implications Service supply chain professionals and stakeholders believe that catering to the challenges with BDA must be a multi-faceted approach and not limited to specific practices. Practical implications The challenges with BDA should be taken into planning and implementation from a holistic perspective. The framework in this paper can have both theoretical and practical implications. Originality/value The contribution of this paper is to advance the understanding of BDA in service sector by viewing it from the perspective of different stakeholders.

scholarly journals Health Advertising during the Lockdown: A Comparative Analysis of Commercial TV in Spain

2021 ◽  
Vol 18 (3) ◽  
pp. 1054
Author(s):  
David Blanco-Herrero ◽  
Jorge Gallardo-Camacho ◽  
Carlos Arcila-Calderón
Keyword(s):  
Comparative Analysis ◽  
Health Information ◽  
Agenda Setting ◽  
Inferential Statistics ◽  
Setting Theory

During the lockdown declared in Spain to fight the spread of COVID-19 from 14 March to 3 May 2020, a context in which health information has gained relevance, the agenda-setting theory was used to study the proportion of health advertisements broadcasted during this period on Spanish television. Previous and posterior phases were compared, and the period was compared with the same period in 2019. A total of 191,738 advertisements were downloaded using the Instar Analytics application and analyzed using inferential statistics to observe the presence of health advertisements during the four study periods. It was observed that during the lockdown, there were more health advertisements than after, as well as during the same period in 2019, although health advertisements had the strongest presence during the pre-lockdown phase. The presence of most types of health advertisements also changed during the four phases of the study. We conclude that, although many differences can be explained by the time of the year—due to the presence of allergies or colds, for instance—the lockdown and the pandemic affected health advertising. However, the effects were mostly visible after the lockdown, when advertisers and broadcasters had had time to adapt to the unexpected circumstances.

scholarly journals How to evaluate sustainability of supply chains? A dynamic network DEA approach

2017 ◽  
Vol 117 (9) ◽  
pp. 1866-1889 ◽  
Author(s):  
Vahid Shokri Kahi ◽  
Saeed Yousefi ◽  
Hadi Shabanpour ◽  
Reza Farzipoor Saen
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Real World ◽  
Performance Optimization ◽  
Network Dynamic ◽  
Network Dea ◽  
Content Type ◽  
Dea Model ◽  
Proposed Model ◽  
First Time

Purpose The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score. Design/methodology/approach A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach. Findings This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately. Research limitations/implications In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data. Practical implications The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc. Originality/value For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.

Sign in / Sign up

Export Citation Format

Share Document